589689.xyz

[] Udemy - Applied Control Systems for Engineers 1 - autonomous vehicle

  • 收录时间:2021-08-11 00:04:47
  • 文件大小:4GB
  • 下载次数:1
  • 最近下载:2021-08-11 00:04:47
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 7. Model Predictive Control - Python Simulation - autonomous vehicle/4. Explanation of the code files 2.mp4 167MB
  2. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/11. Model Predictive Control - Math - 11.mp4 132MB
  3. 5. Model Predictive Control - Intuition - Rocket example/7. Model Predictive Control - Horizon period.mp4 113MB
  4. 5. Model Predictive Control - Intuition - Rocket example/4. Model Predictive Control - Cost function having several variables 1.mp4 112MB
  5. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/4. Model Predictive Control - Math - 4.mp4 110MB
  6. 7. Model Predictive Control - Python Simulation - autonomous vehicle/5. Discussing the simulation results.mp4 105MB
  7. 5. Model Predictive Control - Intuition - Rocket example/3. Model Predictive Control - Cost function.mp4 93MB
  8. 5. Model Predictive Control - Intuition - Rocket example/8. Model Predictive Control - measured VS predicted outputs (Kalman Filter).mp4 90MB
  9. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/13. Model Predictive Control - Math - 13.mp4 90MB
  10. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/12. Nonlinear VS Linear Time Invariant (LTI) models.mp4 87MB
  11. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/3. Model Predictive Control - Math - 3.mp4 87MB
  12. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/8. Computing new states in the open loop system 1.mp4 82MB
  13. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/2. Model Predictive Control - Math - 2.mp4 75MB
  14. 1. Intro to Control - PID controller/23. PID Proportional & Derivative controller & magnetic train simulation in Python.mp4 71MB
  15. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/21. Model Predictive Control - Math - 21.mp4 70MB
  16. 1. Intro to Control - PID controller/28. PID Proportional, Derivative, Integral Control combined.mp4 69MB
  17. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/9. Computing new states in the open loop system 2.mp4 68MB
  18. 7. Model Predictive Control - Python Simulation - autonomous vehicle/3. Explanation of the code files 1.mp4 68MB
  19. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/19. Model Predictive Control - Math - 19.mp4 67MB
  20. 7. Model Predictive Control - Python Simulation - autonomous vehicle/1. Intro to the simulator.mp4 67MB
  21. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/8. Model Predictive Control - Math - 8.mp4 67MB
  22. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/5. Model Predictive Control - Math - 5.mp4 64MB
  23. 5. Model Predictive Control - Intuition - Rocket example/6. Model Predictive Control - Cost function weights.mp4 62MB
  24. 1. Intro to Control - PID controller/21. PID Intro to Derivative Control.mp4 60MB
  25. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/7. Adding extra states to the system.mp4 57MB
  26. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/15. Model Predictive Control - Math - 15.mp4 54MB
  27. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/8. Setting stage for the car's lateral control 2.mp4 54MB
  28. 5. Model Predictive Control - Intuition - Rocket example/11. Model Predictive Control - Quadratic VS other cost functions 3.mp4 54MB
  29. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/13. Connecting LTI matrices with the vehicle's inputs.mp4 53MB
  30. 3. Vehicle modelling for lateral control using equations of motion/15. Modelling the front wheel of the vehicle 4.mp4 53MB
  31. 5. Model Predictive Control - Intuition - Rocket example/12. Model Predictive Control - Quadratic VS other cost functions 4.mp4 50MB
  32. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/6. Fundamentals of forces and moments 3.mp4 49MB
  33. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/10. Model Predictive Control - Math - 10.mp4 49MB
  34. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/6. Model Predictive Control - Math - 6.mp4 48MB
  35. 3. Vehicle modelling for lateral control using equations of motion/14. Modelling the front wheel of the vehicle 3.mp4 48MB
  36. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/12. Model Predictive Control - Math - 12.mp4 47MB
  37. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/11. Simplifying systems with small angle assumptions.mp4 47MB
  38. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/10. Computing new states in the open loop system 3.mp4 46MB
  39. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/16. Model Predictive Control - Math - 16.mp4 46MB
  40. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/9. Setting stage for the car's lateral control 3.mp4 46MB
  41. 1. Intro to Control - PID controller/9. Numerical integration applied to the water tank model.mp4 45MB
  42. 1. Intro to Control - PID controller/10. Combining math with the control structure.mp4 45MB
  43. 1. Intro to Control - PID controller/29. PID extra component in the controller to deal with small number division.mp4 43MB
  44. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/2. From equations of motion to state-space equations 2.mp4 43MB
  45. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/7. Model Predictive Control - Math - 7.mp4 42MB
  46. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/20. Model Predictive Control - Math - 20.mp4 41MB
  47. 5. Model Predictive Control - Intuition - Rocket example/5. Model Predictive Control - Cost function having several variables 2.mp4 40MB
  48. 3. Vehicle modelling for lateral control using equations of motion/10. Centripetal acceleration intuition & mathematical derivation.mp4 40MB
  49. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/18. Model Predictive Control - Math - 18.mp4 39MB
  50. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/3. From equations of motion to state-space equations 3.mp4 38MB
  51. 5. Model Predictive Control - Intuition - Rocket example/2. Model Predictive Control - Thrust levels.mp4 38MB
  52. 1. Intro to Control - PID controller/8. Modelling the water tank 2.mp4 38MB
  53. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/4. Fundamentals of forces and moments 1.mp4 37MB
  54. 1. Intro to Control - PID controller/22. PID Tuning the controller.mp4 37MB
  55. 5. Model Predictive Control - Intuition - Rocket example/1. Model Predictive Control - Intro.mp4 36MB
  56. 5. Model Predictive Control - Intuition - Rocket example/9. Model Predictive Control - Quadratic VS other cost functions 1.mp4 35MB
  57. 5. Model Predictive Control - Intuition - Rocket example/10. Model Predictive Control - Quadratic VS other cost functions 2.mp4 33MB
  58. 7. Model Predictive Control - Python Simulation - autonomous vehicle/2. Recap of the course.srt 31MB
  59. 7. Model Predictive Control - Python Simulation - autonomous vehicle/2. Recap of the course.mp4 31MB
  60. 1. Intro to Control - PID controller/16. PID Going from system input to system output using numerical integration.mp4 31MB
  61. 1. Intro to Control - PID controller/19. PID Proportional controller overshoot explanation 2.mp4 31MB
  62. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/1. Model Predictive Control - Math - 1.mp4 31MB
  63. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/4. From equations of motion to state-space equations 4.mp4 30MB
  64. 3. Vehicle modelling for lateral control using equations of motion/9. Lateral & centripetal acceleration.mp4 30MB
  65. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/5. Fundamentals of forces and moments 2.mp4 30MB
  66. 1. Intro to Control - PID controller/15. PID Modelling the train with forces 2.mp4 30MB
  67. 8. Bonus/1. INTUITION MATTERS! Applied Calculus for Engineers - Complete.mp4 29MB
  68. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/14. Model Predictive Control - Math - 14.mp4 27MB
  69. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/5. The meaning of states 1.mp4 27MB
  70. 1. Intro to Control - PID controller/14. PID Modelling the train with forces 1.mp4 26MB
  71. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/6. The meaning of states 2.mp4 26MB
  72. 3. Vehicle modelling for lateral control using equations of motion/3. Car model VS simplified bicycle model 1.mp4 26MB
  73. 3. Vehicle modelling for lateral control using equations of motion/12. Rewriting lateral forces in terms of front wheel angles.mp4 24MB
  74. 3. Vehicle modelling for lateral control using equations of motion/6. Longitudinal & lateral velocities of the bicycle model 1.mp4 24MB
  75. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/7. Setting stage for the car's lateral control 1.mp4 24MB
  76. 1. Intro to Control - PID controller/27. PID Mathematical modelling of the train with the inclination angle 2.mp4 22MB
  77. 3. Vehicle modelling for lateral control using equations of motion/7. Longitudinal & lateral velocities of the bicycle model 2.mp4 22MB
  78. 1. Intro to Control - PID controller/2. Intro to Control - how to control systems with a controller 1.mp4 21MB
  79. 1. Intro to Control - PID controller/30. PID Magnetic train simulation (inclination angle & PID).mp4 21MB
  80. 1. Intro to Control - PID controller/20. PID Proportional controller overshoot explanation 3.mp4 20MB
  81. 3. Vehicle modelling for lateral control using equations of motion/11. Modelling the front wheel of the vehicle 1.mp4 20MB
  82. 1. Intro to Control - PID controller/4. Open VS Closed Loop System.mp4 19MB
  83. 3. Vehicle modelling for lateral control using equations of motion/5. Car model VS simplified bicycle model 3.mp4 18MB
  84. 1. Intro to Control - PID controller/3. Intro to Control - how to control systems with a controller 2.mp4 18MB
  85. 1. Intro to Control - PID controller/6. Intro to a proportional controller.mp4 16MB
  86. 1. Intro to Control - PID controller/18. PID Proportional controller overshoot explanation 1.mp4 16MB
  87. 1. Intro to Control - PID controller/24. PID Intro to Integral Control.mp4 16MB
  88. 1. Intro to Control - PID controller/26. PID Mathematical modelling of the train with the inclination angle 1.mp4 16MB
  89. 3. Vehicle modelling for lateral control using equations of motion/8. Equations of motion in the lateral direction.mp4 15MB
  90. 1. Intro to Control - PID controller/12. Intro to a PID simulation.mp4 15MB
  91. 3. Vehicle modelling for lateral control using equations of motion/13. Modelling the front wheel of the vehicle 2.mp4 15MB
  92. 1. Intro to Control - PID controller/25. PID Python magnetic train simulation at an inclination angle.mp4 14MB
  93. 1. Intro to Control - PID controller/5. Controlling the water tank in a Python simulation.mp4 12MB
  94. 1. Intro to Control - PID controller/17. PID Magnetic train simulation - proportional controller.mp4 12MB
  95. 1. Intro to Control - PID controller/11. Water tank simulation - proportional controller.mp4 12MB
  96. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/9. Model Predictive Control - Math - 9.mp4 10MB
  97. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/3. Getting started with modelling a car 2.mp4 10MB
  98. 3. Vehicle modelling for lateral control using equations of motion/2. The general control structure for the vehicle's lateral control.mp4 10MB
  99. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/10. Setting stage for the car's lateral control 4.mp4 9MB
  100. 3. Vehicle modelling for lateral control using equations of motion/4. Car model VS simplified bicycle model 2.mp4 9MB
  101. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/1. From equations of motion to state-space equations 1.mp4 8MB
  102. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/2. Getting started with modelling a car 1.mp4 8MB
  103. 1. Intro to Control - PID controller/1. Course guide.mp4 8MB
  104. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/17. Model Predictive Control - Math - 17.mp4 7MB
  105. 1. Intro to Control - PID controller/7. Modelling the water tank 1.mp4 4MB
  106. 3. Vehicle modelling for lateral control using equations of motion/1. Follow up!.mp4 3MB
  107. 1. Intro to Control - PID controller/13. Follow up!.mp4 3MB
  108. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/1. Intro to MPC.mp4 3MB
  109. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/4. Model Predictive Control - Math - 4.srt 21KB
  110. 7. Model Predictive Control - Python Simulation - autonomous vehicle/4. Explanation of the code files 2.srt 19KB
  111. 1. Intro to Control - PID controller/28. PID Proportional, Derivative, Integral Control combined.srt 18KB
  112. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/11. Model Predictive Control - Math - 11.srt 16KB
  113. 5. Model Predictive Control - Intuition - Rocket example/4. Model Predictive Control - Cost function having several variables 1.srt 16KB
  114. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/13. Model Predictive Control - Math - 13.srt 15KB
  115. 5. Model Predictive Control - Intuition - Rocket example/3. Model Predictive Control - Cost function.srt 14KB
  116. 1. Intro to Control - PID controller/29. PID extra component in the controller to deal with small number division.srt 14KB
  117. 5. Model Predictive Control - Intuition - Rocket example/7. Model Predictive Control - Horizon period.srt 14KB
  118. 1. Intro to Control - PID controller/21. PID Intro to Derivative Control.srt 14KB
  119. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/3. Model Predictive Control - Math - 3.srt 13KB
  120. 1. Intro to Control - PID controller/8. Modelling the water tank 2.srt 13KB
  121. 5. Model Predictive Control - Intuition - Rocket example/8. Model Predictive Control - measured VS predicted outputs (Kalman Filter).srt 12KB
  122. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/2. Model Predictive Control - Math - 2.srt 12KB
  123. 7. Model Predictive Control - Python Simulation - autonomous vehicle/6.1 MAIN_LPV_MPC_car_lateral.py 12KB
  124. 1. Intro to Control - PID controller/15. PID Modelling the train with forces 2.srt 12KB
  125. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/12. Nonlinear VS Linear Time Invariant (LTI) models.srt 12KB
  126. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/8. Computing new states in the open loop system 1.srt 12KB
  127. 1. Intro to Control - PID controller/16. PID Going from system input to system output using numerical integration.srt 12KB
  128. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/21. Model Predictive Control - Math - 21.srt 11KB
  129. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/6. Fundamentals of forces and moments 3.srt 11KB
  130. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/5. Model Predictive Control - Math - 5.srt 11KB
  131. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/9. Computing new states in the open loop system 2.srt 11KB
  132. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/8. Model Predictive Control - Math - 8.srt 11KB
  133. 7. Model Predictive Control - Python Simulation - autonomous vehicle/5. Discussing the simulation results.srt 10KB
  134. 1. Intro to Control - PID controller/9. Numerical integration applied to the water tank model.srt 10KB
  135. 1. Intro to Control - PID controller/31.1 calculus_sim_pid_train.py 10KB
  136. 1. Intro to Control - PID controller/23. PID Proportional & Derivative controller & magnetic train simulation in Python.srt 10KB
  137. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/9. Setting stage for the car's lateral control 3.srt 10KB
  138. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/8. Setting stage for the car's lateral control 2.srt 10KB
  139. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/10. Model Predictive Control - Math - 10.srt 9KB
  140. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/7. Adding extra states to the system.srt 9KB
  141. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/15. Model Predictive Control - Math - 15.srt 9KB
  142. 3. Vehicle modelling for lateral control using equations of motion/15. Modelling the front wheel of the vehicle 4.srt 9KB
  143. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/19. Model Predictive Control - Math - 19.srt 9KB
  144. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/11. Simplifying systems with small angle assumptions.srt 9KB
  145. 5. Model Predictive Control - Intuition - Rocket example/12. Model Predictive Control - Quadratic VS other cost functions 4.srt 9KB
  146. 3. Vehicle modelling for lateral control using equations of motion/14. Modelling the front wheel of the vehicle 3.srt 9KB
  147. 1. Intro to Control - PID controller/19. PID Proportional controller overshoot explanation 2.srt 9KB
  148. 5. Model Predictive Control - Intuition - Rocket example/1. Model Predictive Control - Intro.srt 9KB
  149. 5. Model Predictive Control - Intuition - Rocket example/11. Model Predictive Control - Quadratic VS other cost functions 3.srt 9KB
  150. 7. Model Predictive Control - Python Simulation - autonomous vehicle/6.2 support_files_car.py 8KB
  151. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/7. Model Predictive Control - Math - 7.srt 8KB
  152. 5. Model Predictive Control - Intuition - Rocket example/6. Model Predictive Control - Cost function weights.srt 8KB
  153. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/6. Model Predictive Control - Math - 6.srt 8KB
  154. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/4. Fundamentals of forces and moments 1.srt 8KB
  155. 7. Model Predictive Control - Python Simulation - autonomous vehicle/1. Intro to the simulator.srt 8KB
  156. 1. Intro to Control - PID controller/22. PID Tuning the controller.srt 8KB
  157. 1. Intro to Control - PID controller/14. PID Modelling the train with forces 1.srt 8KB
  158. 1. Intro to Control - PID controller/10. Combining math with the control structure.srt 8KB
  159. 7. Model Predictive Control - Python Simulation - autonomous vehicle/3. Explanation of the code files 1.srt 8KB
  160. 1. Intro to Control - PID controller/4. Open VS Closed Loop System.srt 8KB
  161. 1. Intro to Control - PID controller/2. Intro to Control - how to control systems with a controller 1.srt 7KB
  162. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/16. Model Predictive Control - Math - 16.srt 7KB
  163. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/20. Model Predictive Control - Math - 20.srt 7KB
  164. 5. Model Predictive Control - Intuition - Rocket example/2. Model Predictive Control - Thrust levels.srt 7KB
  165. 1. Intro to Control - PID controller/27. PID Mathematical modelling of the train with the inclination angle 2.srt 7KB
  166. 1. Intro to Control - PID controller/3. Intro to Control - how to control systems with a controller 2.srt 7KB
  167. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/18. Model Predictive Control - Math - 18.srt 7KB
  168. 3. Vehicle modelling for lateral control using equations of motion/9. Lateral & centripetal acceleration.srt 7KB
  169. 5. Model Predictive Control - Intuition - Rocket example/10. Model Predictive Control - Quadratic VS other cost functions 2.srt 7KB
  170. 5. Model Predictive Control - Intuition - Rocket example/5. Model Predictive Control - Cost function having several variables 2.srt 6KB
  171. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/2. From equations of motion to state-space equations 2.srt 6KB
  172. 1. Intro to Control - PID controller/20. PID Proportional controller overshoot explanation 3.srt 6KB
  173. 5. Model Predictive Control - Intuition - Rocket example/9. Model Predictive Control - Quadratic VS other cost functions 1.srt 6KB
  174. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/1. Model Predictive Control - Math - 1.srt 6KB
  175. 3. Vehicle modelling for lateral control using equations of motion/3. Car model VS simplified bicycle model 1.srt 6KB
  176. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/13. Connecting LTI matrices with the vehicle's inputs.srt 6KB
  177. 3. Vehicle modelling for lateral control using equations of motion/10. Centripetal acceleration intuition & mathematical derivation.srt 6KB
  178. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/10. Computing new states in the open loop system 3.srt 6KB
  179. 1. Intro to Control - PID controller/31.2 calculus_sim_watertanks_Kp_controller.py 6KB
  180. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/7. Setting stage for the car's lateral control 1.srt 6KB
  181. 3. Vehicle modelling for lateral control using equations of motion/6. Longitudinal & lateral velocities of the bicycle model 1.srt 5KB
  182. 1. Intro to Control - PID controller/18. PID Proportional controller overshoot explanation 1.srt 5KB
  183. 1. Intro to Control - PID controller/24. PID Intro to Integral Control.srt 5KB
  184. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/5. The meaning of states 1.srt 5KB
  185. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/6. The meaning of states 2.srt 5KB
  186. 1. Intro to Control - PID controller/6. Intro to a proportional controller.srt 5KB
  187. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/5. Fundamentals of forces and moments 2.srt 5KB
  188. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/12. Model Predictive Control - Math - 12.srt 5KB
  189. 1. Intro to Control - PID controller/26. PID Mathematical modelling of the train with the inclination angle 1.srt 5KB
  190. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/14. Model Predictive Control - Math - 14.srt 4KB
  191. 3. Vehicle modelling for lateral control using equations of motion/11. Modelling the front wheel of the vehicle 1.srt 4KB
  192. 3. Vehicle modelling for lateral control using equations of motion/7. Longitudinal & lateral velocities of the bicycle model 2.srt 4KB
  193. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/3. From equations of motion to state-space equations 3.srt 4KB
  194. 3. Vehicle modelling for lateral control using equations of motion/8. Equations of motion in the lateral direction.srt 4KB
  195. 1. Intro to Control - PID controller/1. Course guide.srt 3KB
  196. 3. Vehicle modelling for lateral control using equations of motion/5. Car model VS simplified bicycle model 3.srt 3KB
  197. 1. Intro to Control - PID controller/5. Controlling the water tank in a Python simulation.srt 3KB
  198. 3. Vehicle modelling for lateral control using equations of motion/12. Rewriting lateral forces in terms of front wheel angles.srt 3KB
  199. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/2. Getting started with modelling a car 1.srt 3KB
  200. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/9. Model Predictive Control - Math - 9.srt 3KB
  201. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/3. Getting started with modelling a car 2.srt 3KB
  202. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/4. From equations of motion to state-space equations 4.srt 3KB
  203. 3. Vehicle modelling for lateral control using equations of motion/2. The general control structure for the vehicle's lateral control.srt 3KB
  204. 1. Intro to Control - PID controller/30. PID Magnetic train simulation (inclination angle & PID).srt 3KB
  205. 1. Intro to Control - PID controller/12. Intro to a PID simulation.srt 3KB
  206. 1. Intro to Control - PID controller/11. Water tank simulation - proportional controller.srt 3KB
  207. 8. Bonus/1. INTUITION MATTERS! Applied Calculus for Engineers - Complete.srt 2KB
  208. 1. Intro to Control - PID controller/17. PID Magnetic train simulation - proportional controller.srt 2KB
  209. 3. Vehicle modelling for lateral control using equations of motion/4. Car model VS simplified bicycle model 2.srt 2KB
  210. 3. Vehicle modelling for lateral control using equations of motion/13. Modelling the front wheel of the vehicle 2.srt 2KB
  211. 1. Intro to Control - PID controller/7. Modelling the water tank 1.srt 2KB
  212. 1. Intro to Control - PID controller/25. PID Python magnetic train simulation at an inclination angle.srt 2KB
  213. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/1. Intro to MPC.srt 1KB
  214. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/10. Setting stage for the car's lateral control 4.srt 1KB
  215. 7. Model Predictive Control - Python Simulation - autonomous vehicle/6. The Simulation Python codes - Model Predictive Control.html 1KB
  216. 1. Intro to Control - PID controller/31. Codes for the P & PID controllers (Python 3, Numpy & Matplotlib needed).html 1KB
  217. 1. Intro to Control - PID controller/13. Follow up!.srt 1KB
  218. 3. Vehicle modelling for lateral control using equations of motion/1. Follow up!.srt 1KB
  219. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/1. From equations of motion to state-space equations 1.srt 1KB
  220. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/17. Model Predictive Control - Math - 17.srt 1KB
  221. 2. Fundamentals of forces, moments, mass moment of inertia and reference frames/11. Moment calculation exercise.html 170B
  222. 1. Intro to Control - PID controller/[Tutorialsplanet.NET].url 128B
  223. 5. Model Predictive Control - Intuition - Rocket example/[Tutorialsplanet.NET].url 128B
  224. 8. Bonus/[Tutorialsplanet.NET].url 128B
  225. [Tutorialsplanet.NET].url 128B
  226. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/14. Getting LTI model using small angle approximation 1.mp4 0B
  227. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/14. Getting LTI model using small angle approximation 1.srt 0B
  228. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/15. Getting LTI model using small angle approximation 2.mp4 0B
  229. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/15. Getting LTI model using small angle approximation 2.srt 0B
  230. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/16. Getting LTI model using small angle approximation 3 + Recap.mp4 0B
  231. 4. Vehicle's state-space & Linear Time Invariant (LTI) model for lateral control/16. Getting LTI model using small angle approximation 3 + Recap.srt 0B
  232. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/22. Derivation of the gradient of a quadratic vector-matrix form 1.mp4 0B
  233. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/22. Derivation of the gradient of a quadratic vector-matrix form 1.srt 0B
  234. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/23. Derivation of the gradient of a quadratic vector-matrix form 2.mp4 0B
  235. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/23. Derivation of the gradient of a quadratic vector-matrix form 2.srt 0B
  236. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/24. Derivation of the gradient of a quadratic vector-matrix form 3.mp4 0B
  237. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/24. Derivation of the gradient of a quadratic vector-matrix form 3.srt 0B
  238. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/25. Derivation of the gradient of a quadratic vector-matrix form 4.mp4 0B
  239. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/25. Derivation of the gradient of a quadratic vector-matrix form 4.srt 0B
  240. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/26. Derivation of the gradient of a quadratic vector-matrix form 5.mp4 0B
  241. 6. Model Predictive Control - Mathematical Derivation - autonomous vehicle example/26. Derivation of the gradient of a quadratic vector-matrix form 5.srt 0B