Learning-Based Adaptive Control for Stochastic Linear Systems With Input Constraints

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

Adaptive Control for Nonlinear Stochastic Hybrid Systems with Input Saturation

This paper presents a new state-space self-tuning control scheme for adaptive digital control of continuous multivariable nonlinear stochastic hybrid systems with input saturation. Here, the continuous nonlinear stochastic system is assumed to have unknown system parameters, system and measurement noises, and inaccessible system states. The proposed method enables the development of a digitally...

Observer Based Controller Design for Linear Systems with Input Constraints

A systematic design method for observer based linear control of LTI systems with input constraints is introduced. The method allows to optimize the observer parameters with respect to the system’s performance while at the same time the compliance with the constraints is guaranteed. To improve the results we further propose a method to design both the controller and the observer simultaneously. ...

Numerical method for solving optimal control problem of the linear differential systems with inequality constraints

In this paper, an efficient method for solving optimal control problems of the linear differential systems with inequality constraint is proposed. By using new adjustment of hat basis functions and their operational matrices of integration, optimal control problem is reduced to an optimization problem. Also, the error analysis of the proposed method is nvestigated and it is proved that the orde...

On Supervisory Control of Linear Systems with Input Constraints