Evolving granular control with high-gain observers for feedback linearizable nonlinear systems.
Anderson BentoLucas OliveiraIgnácio Rubio ScolaValter J. S. LeiteFernando A. C. GomidePublished in: Evol. Syst. (2021)
Keyphrases
- nonlinear systems
- adaptive control
- tracking control
- inverted pendulum
- adaptive neural
- controller design
- stability analysis
- control law
- fuzzy model
- lyapunov function
- fuzzy control
- adaptive fuzzy
- control method
- adaptive neural control
- dead zone
- fuzzy systems
- takagi sugeno
- fault tolerant control
- tracking error
- control strategy
- control system
- control problems
- learning rate
- optimal control
- genetic algorithm
- fuzzy controller
- fuzzy sets
- granular computing
- fuzzy rules
- evolutionary algorithm
- neural network
- real time
- data mining
- rough sets
- vision system
- genetic programming
- input output
- dynamical systems
- dynamic model
- control algorithm