Simulation Validation of Three Nonlinear Model-Based Controllers in the Adaptive Cruise Control System.
Payman ShakouriJacek CzeczotAndrzej W. OrdysPublished in: J. Intell. Robotic Syst. (2015)
Keyphrases
- control system
- control scheme
- proportional integral
- multi input multi output
- lyapunov theory
- pid controller
- control law
- neural network controller
- feedback controller
- control strategy
- matlab simulink
- controller design
- control algorithm
- closed loop
- external disturbances
- model predictive control
- conventional pid
- pid control
- fuzzy logic
- matlab simulation
- adaptive control
- adaptive neural
- control method
- intelligent control
- fuzzy pid
- fuzzy control
- tracking control
- nonlinear systems
- adaptive fuzzy
- robot manipulators
- control loop
- data driven
- traffic signal
- simulation model
- dc motor
- controller synthesis
- trajectory tracking
- fuzzy controller
- continuous stirred tank reactor
- wheeled mobile robot
- variable structure
- flight control
- tracking error
- real environment
- dynamic model
- optimal control
- traffic signal control
- sliding mode control
- mathematical model
- least mean square
- neural network
- operating conditions
- high fidelity
- control strategies