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Simultaneous state and output disturbance estimations for a class of switched linear systems with unknown inputs
- Source :
- International Journal of Systems Science. 48:22-33
- Publication Year :
- 2016
- Publisher :
- Informa UK Limited, 2016.
-
Abstract
- The paper considers the issues of state estimation and output disturbance reconstruction for a class of switched linear systems with unknown inputs. A singular switched system is derived from the original switched system by taking the output disturbance as a part of a new extended state vector. For the constructed singular switched system, a robust sliding-mode switched observer which can not only estimate the states of original switched system but also reconstruct output disturbances is proposed, where the switching of the observer is synchronous with that of the switched system. A sufficient condition is provided to guarantee the existence of the switched observer by the feasibility of an optimisation problem with linear matrix inequality constraint, and the corresponding switching signal with average dwell time is designed such that the convergence of the estimation error system is proven to be exponential. Based on the state estimation of singular switched system, the methods of state estimation and output disturbance reconstruction of original switched system are proposed. Finally, the simulation results confirm the predicted performance of the proposed methods.
- Subjects :
- 0209 industrial biotechnology
Observer (quantum physics)
Linear system
Linear matrix inequality
State vector
02 engineering and technology
Computer Science Applications
Theoretical Computer Science
Exponential function
Dwell time
020901 industrial engineering & automation
Control and Systems Engineering
Control theory
Convergence (routing)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
State (computer science)
Mathematics
Subjects
Details
- ISSN :
- 14645319 and 00207721
- Volume :
- 48
- Database :
- OpenAIRE
- Journal :
- International Journal of Systems Science
- Accession number :
- edsair.doi...........62a8f585ee76a8e3fbb6705b16c31e27