For multiple model adaptive control systems, “multi-controller” architecture can be efficiently implemented (multirealised) by means of a “state-shared” parameterdependent feedback system. Necessary and sufficient conditions for the multirealisation of a family of linear multivariable systems based on matrix fractional descriptions are presented. The problem of the minimal generic multirealisat...

Assessing the quality of industrial control loops is an important auditing task for the control engineer. However there are complications when considering the ubiquitous nonlinearities present in many industrial control loops. If one simply ignores these nonlinearities, there is the danger of over-estimating the performance of the control loop in rejecting disturbances, and thereby possibly ove...

in this paper, a new method is proposed to find the fuzzy optimal solution of fully fuzzy linear programming (abbreviated to fflp) problems. also, we employ linear programming (lp) with equality constraints to find a nonegative fuzzy number vector x which satisfies ax =b, where a is a fuzzy number matrix. then we investigate the existence of a positive solution of fully fuzzy linear system (ffls).

In this paper, we introduce a robust state feedback controller design using Linear Matrix Inequalities (LMIs) and guaranteed cost approach for Takagi-Sugeno fuzzy systems. The purpose on this work is to establish a systematic method to design controllers for a class of uncertain linear and non linear systems. Our approach utilizes a certain type of fuzzy systems that are based on Takagi-Sugeno ...

this paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. the proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. this kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...

A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...

Fuzzy control systems and predictive control techniques has been widely accepted for industrial applications. Fuzzy modeling has received particular attention with in the industry and the nance sectors due to the qualitative insight about the behaviour of the modeled process. Predictive control had been focused on linear systems and time variant linear systems (Adaptive Predictive Control). The...

this paper presents a cooperative control which is applied to the secondary control of a microgrid controlled via a multi-agent scheme. balancing power that leads to voltage and frequency stability in a microgrid is essential. the voltage and frequency regulations are limiting within the specified limits and conveying them to their nominal values. limiting and conveying the voltage and frequenc...