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- W1034822702 abstract "This chapter presents different approaches to distributed model predictive control (DMPC) strategy for interconnected networked systems. In one approach, the dissipativity concept is employed as the vehicle for system analysis and design. Each node of the network is represented by a linear state space model designated as a subsystem herein. These subsystems are regulated by disparate multivariable controllers using an model predictive control (MPC) algorithm. In another approach, the focus is on information pattern, and a suboptimal linear quadratic Gaussian (LQG) design is developed. A third approach is based on MPC with stability constraint in which cooperative game theory is the core. In all of these approaches, detailed analytical treatments are provided to reach the desired results." @default.
- W1034822702 created "2016-06-24" @default.
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- W1034822702 date "2013-03-21" @default.
- W1034822702 modified "2023-09-23" @default.
- W1034822702 title "Distributed model predictive control" @default.
- W1034822702 doi "https://doi.org/10.1049/pbce088e_ch2" @default.
- W1034822702 hasPublicationYear "2013" @default.
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