An algorithm for nonlinear optimal generalized predictive functional control is defined for controlling discrete-time piecewise affine systems. The main piecewise affine form is transferred into a corresponding state-dependent system form. The principal piecewise affine system's hybrid properties are retained, and both the continuous and switching dynamics are combined in the same system description. This method enables the use of nonlinear generalized predictive functional control for this hybrid system class. In the generalized predictive functional control method, different classical controller structures can be employed in the feedback loop, such as PI, PID or other classical transfer-function structures. The loop controller is defined ...
An optimal predictive control algorithm is introduced for the control of linear and nonlinear discre...
A new class of nonlinear PID controllers are derived for nonlinear systems using a nonlinear general...
(Communicated by Song Wang) Abstract. In this paper, we consider a class of optimal control problems...
Algorithm of optimal Generalized Predictive Functional Control is presented towards the control prob...
This Ph.D. thesis considers the development of new analysis and control techniques for special class...
We propose a procedure for synthesizing piecewise linear optimal controllers for hybrid systems and ...
A Nonlinear Generalized Minimum Variance (NGMV) control algorithm is introduced for the control of d...
A new polynomial systems method is defined for the restricted structure nonlinear predictive control...
A Nonlinear Predictive Generalized Minimum Variance (NPGMV) control algorithm is introduced for the ...
We propose a procedure for synthesizing piecewise linear optimal controllers for discrete-time hybri...
Abstract: This paper investigates the robust tracking and regulation control problems for discrete-t...
A polynomial predictive optimal control problem is discussed for the discrete time system where the ...
Model predictive control (MPC) is an advanced technique for process control. It is based on iterativ...
A nonlinear predictive generalized minimum variance (NPGMV) control algorithm is introduced for the ...
A non-linear predictive generalised minimum variance control algorithm is introduced for the control...
An optimal predictive control algorithm is introduced for the control of linear and nonlinear discre...
A new class of nonlinear PID controllers are derived for nonlinear systems using a nonlinear general...
(Communicated by Song Wang) Abstract. In this paper, we consider a class of optimal control problems...
Algorithm of optimal Generalized Predictive Functional Control is presented towards the control prob...
This Ph.D. thesis considers the development of new analysis and control techniques for special class...
We propose a procedure for synthesizing piecewise linear optimal controllers for hybrid systems and ...
A Nonlinear Generalized Minimum Variance (NGMV) control algorithm is introduced for the control of d...
A new polynomial systems method is defined for the restricted structure nonlinear predictive control...
A Nonlinear Predictive Generalized Minimum Variance (NPGMV) control algorithm is introduced for the ...
We propose a procedure for synthesizing piecewise linear optimal controllers for discrete-time hybri...
Abstract: This paper investigates the robust tracking and regulation control problems for discrete-t...
A polynomial predictive optimal control problem is discussed for the discrete time system where the ...
Model predictive control (MPC) is an advanced technique for process control. It is based on iterativ...
A nonlinear predictive generalized minimum variance (NPGMV) control algorithm is introduced for the ...
A non-linear predictive generalised minimum variance control algorithm is introduced for the control...
An optimal predictive control algorithm is introduced for the control of linear and nonlinear discre...
A new class of nonlinear PID controllers are derived for nonlinear systems using a nonlinear general...
(Communicated by Song Wang) Abstract. In this paper, we consider a class of optimal control problems...