Add to ORKGIn this paper we show how to use evolutionary algorithms to find a nonlinear, feedback, fuzzy controller to solve optimal control problems. In particular, we study the continuous stirred tank reactor optimal control problem and a problem in which the state equations contain a non-differentiable component of a rectangular pulse over a subinterval of the time range Results are compared with the iterative dynamic programming technique
The design of a fuzzy controller suffers from choice problems of fuzzy input and output membership f...
In this paper, we talk about the application of fuzzy control techniques to the nonlinear systems. W...
The paper is devoted to a numerical method for solving the optimal control problem. The main approac...
Abstract—This paper addresses the optimization and stabiliza-tion problems of nonlinear systems subj...
In this paper, evolutionary and dynamic programming-based reinforcement learning techniques are comb...
The theme of this research focuses on design, analysis and applications of a new type of hybrid fuzz...
This paper provides an overview on evolutionary learning methods for the automated design and optimi...
Two approaches to the numerical solution of the optimal control problem are studied. The direct appr...
Many industrial processes are affected by flow disturbances and sensor noise. To maintain optimal ti...
In this study, a fuzzy rule-based optimal controller is designed for nonlinear dynamical systems. Th...
This paper addresses the optimization and stabilization problems of nonlinear systems subject to par...
Two genetic algorithms and two evolutionary strategies are examined with respect to an actual proble...
This paper addresses the stable fuzzy controller design problem of nonlinear systems. The methodolog...
We discuss a prescriptive approach to multistage optimal fuzzy control of a fuzzy system, given by...
This thesis examines the utility of fuzzy logic in the field of control engineering. A tutorial intr...
The design of a fuzzy controller suffers from choice problems of fuzzy input and output membership f...
In this paper, we talk about the application of fuzzy control techniques to the nonlinear systems. W...
The paper is devoted to a numerical method for solving the optimal control problem. The main approac...
Abstract—This paper addresses the optimization and stabiliza-tion problems of nonlinear systems subj...
In this paper, evolutionary and dynamic programming-based reinforcement learning techniques are comb...
The theme of this research focuses on design, analysis and applications of a new type of hybrid fuzz...
This paper provides an overview on evolutionary learning methods for the automated design and optimi...
Two approaches to the numerical solution of the optimal control problem are studied. The direct appr...
Many industrial processes are affected by flow disturbances and sensor noise. To maintain optimal ti...
In this study, a fuzzy rule-based optimal controller is designed for nonlinear dynamical systems. Th...
This paper addresses the optimization and stabilization problems of nonlinear systems subject to par...
Two genetic algorithms and two evolutionary strategies are examined with respect to an actual proble...
This paper addresses the stable fuzzy controller design problem of nonlinear systems. The methodolog...
We discuss a prescriptive approach to multistage optimal fuzzy control of a fuzzy system, given by...
This thesis examines the utility of fuzzy logic in the field of control engineering. A tutorial intr...
The design of a fuzzy controller suffers from choice problems of fuzzy input and output membership f...
In this paper, we talk about the application of fuzzy control techniques to the nonlinear systems. W...
The paper is devoted to a numerical method for solving the optimal control problem. The main approac...