Robust control techniques for power converters are becoming more attractive because they can meet with most demanding goals like uncertainties. In this sense, the Takagi-Sugeno (T-S) fuzzy controller based on linear matrix inequalities (LMI) is a by intervals that has been relatively unexplored output-voltage regulation problem in switching converters. Through technique it possible to minimize ...

This paper focuses on the problem of constraint control for a class of discrete-time nonlinear systems. Firstly, a new discrete T–S fuzzy hyperbolic model is proposed to represent a class of discrete-time nonlinear systems. By means of the parallel distributed compensation (PDC) method, a novel asymptotic stabilizing control law with the “soft” constraint property is designed. The main advantag...

A comprehensive analysis of aeroelastic systems has shown that these systems exhibit a broad class of pathological response regimes when certain types of non-linearities are included. In this paper, we propose a design method of a state-dependent non-linear controller for aeroelastic systems that includes polynomial structural non-linearities. The proposed method is based on recent numerical te...

Orthogonal function approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA) are used to solve quadratic finite-horizon optimal controller design problems in both a fuzzy parallel distributed compensation (PDC) controller and a non-PDC controller (linear state feedback controller) for Takagi–Sugeno (TS) fuzzy-model-based control systems for dynamic ship positioning systems (TS-DSPS). Base...

The application of fuzzy logic (FL) supervisors (FLS) for on-line nonlinear auto-tuning of the basic FL controllers (FLCs) gains popularity as a simple adaptive technique for improvement of the performance of control systems for plants with nonlinearities, inertia, time-delay, model uncertainty and variable parameters. Various approaches for the FLS design are developed for different types of F...

Within the trend of object-based distributed programming, we present a non-intrusive graphical environment for remote monitoring and steering, IC2D : Interactive Control and Debugging of Distribution. Applications developped using the 100% Java ProActive PDC (Parallel, Distributed and Concurrent) computing library are monitored for ‘free’ by IC2D. As those targetted applications can run on any ...

This paper proposes a Time Delay nonlinear dynamic model of HIV-1 (Human Immunodeficiency Virus type 1), introducing the drug consumption efficiencies as the controlling input for the model. The paper also represents the fuzzy T-S representation and the corresponding Fuzzy T-S controller. The controller parameters are tuned using LMIs (Linear Matrix Inequalities). The main focus is on the stabi...

This paper proposes a Fuzzy Dedicated Observers (FDOS) method using a Nonlinear Unknown Input Fuzzy Observer (UIFO) with a Fuzzy Scheduler Fault Tolerant Control (FSFTC) algorithm for fuzzy Takagi-Sugeno (TS) systems subject to sensor faults, parametric uncertainties, and time varying unknown inputs. FDOS provide residuals for detection and isolation of sensor faults which can affect a TS model...

Parallel and distributed computing (PDC) is now considered a threshold concept for computing, embedded in curricula across the globe. While costs of traditional clusters have made developing practical activities challenging, rise low-cost computers, particularly Raspberry Pi, has led to an exploration how PDC can be taught students using Pi clusters. Building on this work, we report our experie...

The work proposed in this paper aim to design tow controllers for attitude stabilization of a Quadrotor UAV. The first is a classical PID controller; the second is a nonlinear state feedback controller which designed using multiple model approach. We start with the design of a Takagi-Sugeno (T-S) model for Quadrotor modelling, and then we use Linear Matrix Inequality (LMI), and PDC (Parallel Di...