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Chen, Wei

Improved distributed model predictive control with control planning set. (English) Zbl 1346.93160

J. Control Sci. Eng. 2016, Article ID 8167931, 14 p. (2016).
Summary: We focus on distributed Model Predictive Control (MPC) algorithm. Each distributed model predictive controller communicates with the others in order to compute the control sequence. But there are not enough communication resources to exchange information between the subsystems because of the limited communication network. This paper presents an improved distributed model predictive control scheme with control planning set. Control planning set algorithm approximates the future control sequences by designed planning set, which can reduce the exchange information among the controllers and can also decrease the distributed MPC controller calculation demand without degrading the whole system performance much. The stability and system performance analysis for distributed model predictive control are given. Simulations of the four-tank control problem and multi-robot multi-target tracking problem are illustrated to verify the effectiveness of the proposed control algorithm.

Cited in 2 Documents

MSC:

93B40 Computational methods in systems theory (MSC2010)
93A14 Decentralized systems
93D99 Stability of control systems

Keywords:

distributed model predictive control; limited communication network; multi-robot tracking; multi-target tracking; stability analysis; system performance analysis
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References:

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