Works matching IS 01432087 AND DT 2020 AND VI 41 AND IP 1
Results: 20
Editorial Model Predictive Control for Energy Systems: Economic and Distributed Approaches.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 1, doi. 10.1002/oca.2573
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Regularized economic model predictive control with barrier functions.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 3, doi. 10.1002/oca.2569
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Quantized event-triggered H-infinity control of linear networked systems with time‐varying delays and packet losses.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 327, doi. 10.1002/oca.2545
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Ship differential game approach for multiple players: Stackelberg security games.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 312, doi. 10.1002/oca.2544
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Observer‐based controller for positive polynomial systems with time delay.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 278, doi. 10.1002/oca.2542
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Resilient distributed model predictive control for energy management of interconnected microgrids.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 146, doi. 10.1002/oca.2534
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Distributed optimal control of viscous Burgers' equation via a high‐order, linearization, integral, nodal discontinuous Gegenbauer‐Galerkin method.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 253, doi. 10.1002/oca.2541
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Observer design for stochastic time‐delayed Markovian jump systems with incomplete transition rates and actuator saturation.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 239, doi. 10.1002/oca.2540
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Hierarchically coordinated economic MPC plantwide control of mixed continuous‐batch units in process industries with application to a beet sugar plant.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 190, doi. 10.1002/oca.2535
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On reducing the number of decision variables for dynamic optimization.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 292, doi. 10.1002/oca.2543
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Stochastic model predictive control for tracking linear systems.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 65, doi. 10.1002/oca.2501
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Cost function optimization for predictive control of a five‐phase IM drive.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 84, doi. 10.1002/oca.2499
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A binary‐regularization‐based model predictive control applied to generation scheduling in concentrating solar power plants.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 215, doi. 10.1002/oca.2498
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Issue Information.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. N.PAG, doi. 10.1002/oca.2517
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Distributed model predictive control for energy management in a network of microgrids using the dual decomposition method.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 25, doi. 10.1002/oca.2504
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Towards multiobjective optimization and control of smart grids.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 128, doi. 10.1002/oca.2532
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Distributed model predictive control strategies for coordination of electro‐thermal devices in a cooperative energy management concept.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 170, doi. 10.1002/oca.2528
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Multicriteria optimal operation of a microgrid considering risk analysis, renewable resources, and model predictive control.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 94, doi. 10.1002/oca.2525
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Economic model predictive control for time‐varying system: Performance and stability results.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 42, doi. 10.1002/oca.2492
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Toward economic NMPC for multistage AC optimal power flow.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 107, doi. 10.1002/oca.2487
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