Utilizing the design technique of “parallel distributed compensation”(PDC), model-based fuzzy controllers are designed for both continuous-time and discrete-time dynamic fuzzy models. The stability analysis for this class of dynamic fuzzy models is studied in this paper. New stability conditions for this class of dynamic fuzzy models are presented respectively. On comparison with the existing r...

This paper deals with the stabilization design problem for a class of continuous-time Takagi-Sugeno (T-S) fuzzy model-based control systems. A stabilization design based on fuzzy Lyapunov function and a non-parallel distributed compensation (non-PDC) control law has been proposed. Sufficient stabilization conditions are derived. The conditions for the solvability of the state feedback controlle...

This article presents a fuzzy robust Mixed - Sensitivity Gain - Scheduled H controller based on the Loop -Shaping methodology for a class of MIMO uncertain nonlinear Time - Varying systems. In order to design this controller, the nonlinear parameter - dependent plant is first modeled as a set of linear subsystems by Takagi and Sugeno’s (T - S) fuzzy approach. Both Loop - Shaping methodology and...

By integrating the stabilizability condition, the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA), an integrative computational method is presented in this paper to design the stable and quadratic-optimal static output feedback parallel-distributed-compensation (PDC) controller such that (i) the TakagiSugeno (TS) fuzzy-model-based control system can be stabil...

The proliferation of high performance workstations and the emergence of high speed networks have attracted a lot of interest in parallel and distributed computing (PDC). We envision that PDC environments with supercomputing capabilities will be available in the near future. However, a number of hardware and software issues have to be resolved before the full potential of these PDC environments ...

Abstract: This paper studies and synthesis the parallel distribution compensation PDC controller for discretetime nonlinear systems that which is represented by Takagi-Seguno (T-S) fuzzy models. This work is based on two steps: the first one is modeling and identification of the studied systems by using the clustering method. In particular, we use Fuzzy C-Means (FCM) algorithm. In second one, w...

This paper deals with a new robust control design for autonomous vehicles. The goal is to perform lane-keeping under various constraints, mainly unknown curvature and lateral wind force. To reach this goal, formulation of Parallel Distributed Compensation (PDC) law given. quadratic Lyapunov stability stabilization conditions the discrete-time Takagi–Sugeno (T-S) model representing vehicles are ...

The main objective of the paper is to study the approximation and complexity trade-off capabilities of the recently proposed Tensor Product Distributed Compensation (TPDC) based control design framework. The TPDC is the combination of the TP model transformation and the Parallel Distributed Compensation (PDC) framework. The TP model transformation includes an HOSVD based technique to solve the ...

This paper discusses an observer-based fuzzy control problem for uncertain nonlinear singular systems under Multi-Performance Requirements (MPRs). The approach used in the is to model system using a Takagi–Sugeno (T-S) that can be analyzed linear theories. proposed scheme based on Parallel Distributed Compensation (PDC) and Proportional Derivative (PD) scheme. goal design controller achieves st...

This paper proposes a Takagi-Sugeno (TS) fuzzy approach for 2-dimensional of freedom overhead crane. Since this system is underactuated with nonlinear mathematical dynamic model, the requirement achieving accurate positioning while eliminating oscillation challenging issue. The sector decomposition taken into implementation which uses terms in model as scheduling variables to transform initial ...