Abstract | ||
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In order to reduce communication in network control systems, it is of great interest to be able to synthesize event-triggered control laws from continuous-time controls. This work proposes a new rule to design event-based stabilizing controllers for linear systems. More precisely, based on a given reference system, a state observer, and a quadratic Lyapunov-like function, an event-based sampling algorithm has been designed. In this framework, the stability and the convergence rate of the controlled system towards its steady state depend on the dynamical properties of the reference system and the state observer and the used feedback gain. In addition, the event-triggering condition does not require the knowledge of the state vector of the process to be stabilized. |
Year | DOI | Venue |
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2015 | 10.1109/EBCCSP.2015.7300653 | 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) |
Keywords | Field | DocType |
event-based stabilizing controller,state observer,network control system,event-triggered control law,continuous-time control,linear system,stability,convergence rate,steady state,feedback gain,quadratic Lyapunov-function | State observer,Control theory,State vector,Linear system,Separation principle,Control theory,Control-Lyapunov function,Control engineering,Exponential stability,Mathematics,Sliding mode control | Conference |
Citations | PageRank | References |
1 | 0.38 | 10 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nacim Meslem | 1 | 54 | 7.97 |
Christophe Prieur | 2 | 1037 | 129.96 |