This paper presents the application of robust static output feedback control (RSOFC) to an exothermic continuous-time stirred tank reactor (CSTR) with parametric uncertainties. Necessary and sufficient conditions for stabilization of a linear continuous-time uncertain polytopic system via static output feedback are given at first. Then the problem of RSOFC design is converted to solution of lin...

This paper presents the design of a robust Iterative Learning Control (ILC) algorithm for linear systems in the presence of parametric uncertainties and repetitive disturbances. The robust ILC design is formulated as a min-max problem with a quadratic performance index subjected to constraints of the control input. Employing Lagrange duality, we can reformulate the robust ILC design as a convex...

This work studies the problem of fault estimation using a fast adaptive fault diagnosis observer. The estimator bloc considered for this purpose is an Unknown Input Observer (UIO) which is subsequently used for a robust fault detection scheme and also as an adaptive detection design for an additive actuator fault. Stability of the adaptive estimation is provided by a Lyapunov function ending wi...

This paper describes a new multiple-observer approach to Wireless Network Control Systems (WNCS). Two sets of observers are proposed, Lost Sample Observers (LSO) to deal with packet dropout and State Prediction Observers (SPO) to compensate for time-varying delays. These are designed using Linear Matrix Inequalities (LMI), thereby ensuring closed-loop stability. A numerical example, of a cart-m...

An observer-based design method of fault-tolerant controller for uncertain linear systems subject to actuator faults, saturation and bounded disturbances is provided in this paper. A state feedback controller is designed to maximize the attraction domain with the state variables estimated by a Luenberger observer. The closed-loop system is modeled as a linear system with decentralized dead-zone...

model order reduction is known as the problem of minimizing the -norm of the difference between the transfer function of the original system and the reduced one. in many papers, linear matrix inequality (lmi) approach is utilized to address the minimization problem. this paper deals with defining an extra matrix inequality constraint to guarantee that the minimum phase characteristic of the sys...

this paper is pertained with the problem of admissibility analysis of uncertain discrete-time nonlinear singular systems by adopting the state-space takagi-sugeno fuzzy model with time-delays and norm-bounded parameter uncertainties. lyapunov krasovskii functionals are constructed to obtain delay-dependent stability condition in terms of linear matrix inequalities, which is dependent on the low...

This paper investigates robust stability of uncertain genetic regulatory networks (GRNs). It is assumed that the uncertainties are in the form of a parameter vector that determines the coefficients of the model via given functions. And the novel multivariable regulation functions are introduced here to describe the underlying relationship between different biochemical substance. Firstly, it is ...

This paper focuses on the problem of finite-time boundedness and finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays. A suitable Lyapunov--Krasovskii functional(LKF) is established to derive sufficient condition for finite-time passivity of discrete-time T-S fuzzy neural networks. The dynamical system is transformed into a T-S fuzzy model with uncertain par...

Abstract Robust state estimation for delayed genetic regulatory networks with reaction–diffusion terms and uncertainties under Dirichlet boundary conditions is addressed in this article. The main purpose of the problem investigation to design a novel observer estimate true concentrations mRNA protein by available measurement outputs. Based on Lyapunov–Krasovskii functions linear matrix inequali...