An Observer for Linear Systems with Randomly-Switching Measurement Equations
نویسندگان
چکیده
Based on the algebraic transformation of a randomly switched linear measurement equation to a nonlinear, yet deterministic equation, an asymptotic observer is constructed for a class of systems encountered in manufacturing, telecommunications, and embedded control applications. The observer is shown to be locally exponentially stable for any arbitrary switching sequence, and combines the algebraic transformation with the introduction of a Newton observer defined on the resulting nonlinear measurement equation.
منابع مشابه
New Optimal Observer Design Based on State Prediction for a Class of Non-linear Systems Through Approximation
This paper deals with the optimal state observer of non-linear systems based on a new strategy. Despite the development of state prediction in linear systems, state prediction for non-linear systems is still challenging. In this paper, to obtain a future estimation of the system states, initially Taylor series expansion of states in their receding horizons was achieved to any specified order an...
متن کاملRobust Observer-based Output Tracking Control of Nonlinear Systems with Sensor Measurement Delays
In this note, a practical issue related to the measurement delay is addressed for the output tracking control of a class of nonlinear uncertain systems. Observer based sliding mode control approach is proposed. The measurement delay is constant and bounded. The sliding mode control can handle matched L∞ type system uncertainties with known bounding functions. However, the controller usually req...
متن کاملA new switching strategy for exponential stabilization of uncertain discrete-time switched linear systems in guaranteed cost control problem
Uncertain switched linear systems are known as an important class of control systems. Performance of these systems is affected by uncertainties and its stabilization is a main concern of recent studies. Existing work on stabilization of these systems only provides asymptotical stabilization via designing switching strategy and state-feedback controller. In this paper, a new switching strate...
متن کاملSwitching fuzzy modelling and control scheme using T-S fuzzy systems with nonlinear consequent parts
This paper extends the idea of switching T-S fuzzy systems with linear consequent parts to nonlinear ones. Each nonlinear subsystem is exactly represented by a T-S fuzzy system with Lure’ type consequent parts, which allows to model and control wider classes of switching systems and also reduce the computation burden of control synthesis. With the use of a switching fuzzy Lyapunov function, the...
متن کاملSpeed Observer Design for Linear Induction Motor Drives
In this paper, a neural network model reference adaptive system speed observer is designed, which can be used in speed control of linear induction motors (LIMs). Dynamical equations of LIM have been considered accurate. In other words, the end effect and the electrical losses of the motor have been included in the motor equivalent circuit. Then equations of the reference model and adaptive mode...
متن کامل