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lines changed Original file line number Diff line number Diff line change 1010    " \n " 
1111    " https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/model_predictive_speed_and_steer_control/model_predictive_speed_and_steer_control.py\n " 
1212    " \n " 
13-     " This is a path tracking simulation using model predictive control (MPC)\n " 
13+     " This is a path tracking simulation using model predictive control (MPC). \n " 
1414    " \n " 
15-     " The MPC controller controls vehicle speed and steering base on linealized model" 
15+     " The MPC controller controls vehicle speed and steering base on linealized model.\n " 
16+     " \n " 
17+     " This code uses cvxpy as an optimization modeling tool.\n " 
18+     " \n " 
19+     " - [Welcome to CVXPY 1\\ .0 — CVXPY 1\\ .0\\ .6 documentation](http://www.cvxpy.org/)" 
1620   ]
1721  },
1822  {
6468   "metadata" : {},
6569   "source" : [
6670    " This is implemented at \n " 
71+     " \n " 
6772    " https://github.com/AtsushiSakai/PythonRobotics/blob/f51a73f47cb922a12659f8ce2d544c347a2a8156/PathTracking/model_predictive_speed_and_steer_control/model_predictive_speed_and_steer_control.py#L247-L301" 
6873   ]
6974  },
Original file line number Diff line number Diff line change @@ -710,15 +710,10 @@ Path tracking simulation with iterative linear model predictive speed and steeri
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711711<img  src =" https://github.com/AtsushiSakai/PythonRobotics/raw/master/PathTracking/model_predictive_speed_and_steer_control/animation.gif "  width =" 640 " >
712712
713- This code uses cvxpy as an optimization modeling tool.
714- 
715- -  [ Welcome to CVXPY] ( http://www.cvxpy.org/en/latest/ ) 
716- 
717713Ref:
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719- -  [ Vehicle Dynamics and Control  \|  Rajesh Rajamani  \|  Springer ] ( http ://www.springer. com/us/book/9781461414322 ) 
715+ -  [ notebook ] ( https ://github. com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/model_predictive_speed_and_steer_control/notebook.ipynb ) 
720716
721- -  [ MPC Course Material \-  MPC Lab @ UC\- Berkeley] ( http://www.mpc.berkeley.edu/mpc-course-material ) 
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