Titlebook: Distributed Decision Making and Control; Rolf Johansson,Anders Rantzer Book 2012 Springer London 2012 Autonomous Systems.Control Theory.De

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A Set-Theoretic Method for Verifying Feasibility of a Fast Explicit Nonlinear Model Predictive Contry approximating the optimal control law using multiscale basis function approximation. Simultaneously, feasibility and stability of the approximate control law is ensured through the computation of a capture basin (region of attraction) for the closed-loop system. In a previous work, interval method

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Towards Parallel Implementation of Hybrid MPC—A Survey and Directions for Future Researchthms will be surveyed. It will be seen that there are many possible ways of obtaining parallelism for hybrid MPC, and it is by no means clear which possibilities should be utilized to achieve the best possible performance. This question is a challenge for future research.

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Hierarchical Model Predictive Control for Plug-and-Play Resource Distributiong of a high levelMPC controller, a second level of so-called ., controlled by an online MPC-like algorithm, and a lower level of autonomous units..The approach is inspired by smart-grid electric power production and consumption systems, where the flexibility of a large number of power producing and/

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Hierarchical Model-Based Control for Automated Baggage Handling Systems way using destination-coded vehicles (DCVs). These vehicles transport the bags at high speeds on a network of tracks. To control the route of each DCV in the system we first propose centralized and distributed predictive control methods. This results in nonlinear, nonconvex, mixed integer optimizat

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Optimal Controller Synthesis for a Decentralized Two-Player Linear-Quadratic Regulator via Spectral that they cannot observe. In other words, the simplest separation principle does not hold for this decentralized control problem. Some intuition into the control policies is provided, and the order of the optimal controllers is established.

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Decentralized Control with Communication Bandwidth Constraintsdition on the data rate of respective channels to guarantee system stabilizability. We provide an explicit way to construct the associated stabilizing encoder, decoder, and controller. We also present a robustness analysis showing that this control algorithm is structurally robust against model mismatch.

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