Add to ORKGAbstract. In this paper, first a new algorithm for pole assignment of closed-loop multi-variable controllable systems in a prescribed region of the z-plane is presented. Then, robust state feedback controllers are de-signed by implementing a neural fuzzy system for the placement of closed-loop poles of a controllable system in a prescribed region in the left-hand side of z-plane. A new method based on the parameterizations of condi-tion number function of a closed-loop system whose poles are varied in a prescribed region by neural fuzzy system is also designed
Abstract — Fuzzy controllers are easy to design for complex control surfaces but produce rough contr...
Most of the current fuzzy logic control applications are designed using different heuristics for the...
This paper presents a systematic design procedure of a multivariable fuzzy controller for a general ...
Abstract. In this paper, first a new algorithm for pole assignment of closed-loop multi-variable con...
AbstractA new neurofuzzy controller design algorithm using a neurofuzzy identifier is proposed. The ...
One characteristic of neuro-fuzzy systems is the possibility of incorporating preliminary informatio...
In this paper, we are dealing with the problem of directly regulating unknown multivariable affine i...
This paper presents a neurodynamic optimization approach to robust pole assignment for synthesis of ...
A neurodynamic optimization approach is proposed for robust pole assignment problem of second-order ...
A new controller scheme is introduced for unknown nonlinear dynamical processes that are modelled by...
A new procedure for selecting closed-loop poles in the state feedback controller design is proposed...
This paper presents a controller design method for fuzzy dynamic systems based on piecewise Lyapunov...
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is prop...
This paper presents a systematic design procedure of a multivariable fuzzy controller for a general ...
Abstract — Fuzzy controllers are easy to design for complex control surfaces but produce rough contr...
Most of the current fuzzy logic control applications are designed using different heuristics for the...
This paper presents a systematic design procedure of a multivariable fuzzy controller for a general ...
Abstract. In this paper, first a new algorithm for pole assignment of closed-loop multi-variable con...
AbstractA new neurofuzzy controller design algorithm using a neurofuzzy identifier is proposed. The ...
One characteristic of neuro-fuzzy systems is the possibility of incorporating preliminary informatio...
In this paper, we are dealing with the problem of directly regulating unknown multivariable affine i...
This paper presents a neurodynamic optimization approach to robust pole assignment for synthesis of ...
A neurodynamic optimization approach is proposed for robust pole assignment problem of second-order ...
A new controller scheme is introduced for unknown nonlinear dynamical processes that are modelled by...
A new procedure for selecting closed-loop poles in the state feedback controller design is proposed...
This paper presents a controller design method for fuzzy dynamic systems based on piecewise Lyapunov...
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is prop...
This paper presents a systematic design procedure of a multivariable fuzzy controller for a general ...
Abstract — Fuzzy controllers are easy to design for complex control surfaces but produce rough contr...
Most of the current fuzzy logic control applications are designed using different heuristics for the...
This paper presents a systematic design procedure of a multivariable fuzzy controller for a general ...