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Titlebook: Advanced Control Techniques in Complex Engineering Systems: Theory and Applications; Dedicated to Profess Yuriy P. Kondratenko,Arkadii A. C

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Dietrich Neumann,Ulrich Weinbrennertion of our game by determining the smallest size of a neighborhoods of two mentioned sets, for which the pursuer can solve his problem. Then, we construct his successful solvability set in terms of those neighborhoods.
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978-3-030-21929-1Springer Nature Switzerland AG 2019
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Baukalkulation und Projektcontrolling. Thus it appears dominantly characterized by some slow switching condition with the average dwell time satisfying a certain lower bound, which implies a constraint nonetheless. In cases of nonlinear systems, there may well appear certain non-expected complexity phenomena of particularly different n
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Baukalkulation und Projektcontrollingto simultaneously reach the target, avoiding the obstacles and the possible mutual collisions, while performing the overall process in minimal time. The problem solution is described in terms of the Hamiltonian formalism.
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Baukalkulation und Projektcontrolling practice dynamic processes. Model predictive control (MPC) in recent years is a very intensively developing field of control theory and application. In given chapter, some of the possible realizations of MPC for discrete MIMO linear system are considered. Developed approach is based on the Cauchy f
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https://doi.org/10.1007/978-3-8348-8311-7layers are constrained by geometric restrictions. We study a game problem of the approach of the system to a compact target set in the phase space of the system at a fixed instant of time. The problem is investigated in the frame of the positional formalization proposed by N.N. Krasovskii. We study
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