Name
Title | ||
|---|---|---|
Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis |
Abstract | ||
|---|---|---|
In this paper, the robust state feedback stabilization of uncertain discrete-time constrained nonlinear systems in which the loop is closed through a packet-based communication network is addressed. In order to cope with model uncertainty, time-varying transmission delays, and packet dropouts (typically affecting the performances of networked control systems), a robust control scheme combining model predictive control with a network delay compensation strategy is proposed in the context of non-acknowledged UDP-like networks. The contribution of the paper is twofold. First, the issue of guaranteeing the recursive feasibility of the optimization problem associated to the receding horizon control law has been addressed, such that the invariance of the feasible region under the networked closed-loop dynamics can be guaranteed. Secondly, by exploiting a novel characterization of regional Input-to-State Stability in terms of time-varying Lyapunov functions, the networked closed-loop system has been proven to be Input-to-State Stable with respect to bounded perturbations. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TAC.2010.2051091 | Automatic Control, IEEE Transactions |
Keywords | Field | DocType |
Lyapunov methods,closed loop systems,compensation,delays,discrete time systems,feedback,networked control systems,nonlinear control systems,predictive control,robust control,time-varying systems,uncertain systems,input-to-state stability analysis,model predictive control,model uncertainty,network delay compensation strategy,networked closed-loop system,networked predictive control,optimization problem,packet dropouts,packet-based communication network,receding horizon control law,recursive feasibility,robust control scheme,robust state feedback stabilization,time-varying Lyapunov functions,time-varying transmission delays,uncertain discrete-time constrained nonlinear systems,Model predictive control (MPC),networked control systems (NCS's),nonlinear control | Lyapunov function,Network delay,Mathematical optimization,Nonlinear control,Control theory,Networked control system,Model predictive control,Robustness (computer science),Control system,Robust control,Mathematics | Journal |
Volume | Issue | ISSN |
56 | 1 | 0018-9286 |
Citations | PageRank | References |
53 | 1.70 | 31 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gilberto Pin | 1 | 136 | 17.21 |
| T Parisini | 2 | 935 | 113.17 |