Information Sciences—Informatics and Computer Science: An International Journal
Decentralized receding horizon control for large scale dynamically decoupled systems
Automatica (Journal of IFAC)
Hybrid decentralized control of large scale systems
HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability
Automatica (Journal of IFAC)
Brief The analysis of optimization based controllers
Automatica (Journal of IFAC)
Distributed receding horizon control for multi-vehicle formation stabilization
Automatica (Journal of IFAC)
Approximate explicit receding horizon control of constrained nonlinear systems
Automatica (Journal of IFAC)
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This paper addresses a distributed model predictive control (DMPC) scheme for multiagent systems with improving control performance. In order to penalize the deviation of the computed state trajectory from the assumed state trajectory, the deviation punishment is involved in the local cost function of each agent. The closed-loop stability is guaranteed with a large weight for deviation punishment. However, this large weight leads to much loss of control performance. Hence, the time-varying compatibility constraints of each agent are designed to balance the closed-loop stability and the control performance, so that the closed-loop stability is achieved with a small weight for the deviation punishment. A numerical example is given to illustrate the effectiveness of the proposed scheme.