Results 31 to 40 of about 3,206,320 (297)
Well-posedness and Stability for Interconnection Structures of Port-Hamiltonian Type
, 2019 We consider networks of infinite-dimensional port-Hamiltonian systems $\mathfrak{S}_i$ on one-dimensional spatial domains. These subsystems of port-Hamiltonian type are interconnected via boundary control and observation and are allowed to be of distinct
Augner, Björn
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Mathematical theory of multiprocessor control systems and its applications [PDF]
Computer Science Journal of Moldova, 1995 The peculiar feature of cybernetic control systems is a feedback interaction with a controlled object. The abstract model of such an interaction may be based on the control and operating automata composition originating in the abstract computer model ...
G. Cejtlin, E. Jushchenko
doaj
Systems, Modelling and Control Theory Issues in the Global Operation of Industrial Processes
IFAC Proceedings Volumes, 1995 Abstract The paper deals with the overall problem of process operations of large industrial processes and aims to idenify a number of important Systems and Control Theory type issues which are of generic character and they are also relevant to both continuous and discrete type processes.
N. Karcanias +2 more
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Optimal Control of Sweeping Processes in Robotics and Traffic Flow Models [PDF]
, 2018 The paper is mostly devoted to applications of a novel optimal control theory for perturbed sweeping/Moreau processes to two practical dynamical models.
Colombo, Giovanni +2 more
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Вестник КазНУ. Серия математика, механика, информатика, 2019 The article is devoted to the actual problem of the mathematical theory of controllability. It investigated the mathematical model of control, described by ordinary differential equations, taking into account the restrictions on the control. As is known,
Sh. A. Jomartova +2 more
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Survey of multi-model adaptive control theory and its applications
工程科学学报, 2020 Multi-model adaptive control, as an improved method of classical adaptive control, can effectively solve the control performance issues for the complex systems with large parameter uncertainties. It has attracted increasing attention from scholars, and a
Yu-zhen ZHANG +3 more
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Data-driven Economic NMPC using Reinforcement Learning [PDF]
, 2019 Reinforcement Learning (RL) is a powerful tool to perform data-driven optimal control without relying on a model of the system. However, RL struggles to provide hard guarantees on the behavior of the resulting control scheme. In contrast, Nonlinear Model
Gros, Sébastien, Zanon, Mario
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Quantum Internal Model Principle: Decoherence Control
, 2007 In this article, we study the problem of designing a Decoherence Control for quantum systems with the help of a scalable ancillary quantum control and techniques from geometric control theory, in order to successfully and completely decouple an open ...
Ganesan, Narayan, Tarn, Tzyh-Jong
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Model-Based Control Using Koopman Operators
, 2017 This paper explores the application of Koopman operator theory to the control of robotic systems. The operator is introduced as a method to generate data-driven models that have utility for model-based control methods.
Abraham, Ian +2 more
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Yang-Lee zeroes for an urn model for the separation of sand [PDF]
, 2003 We apply the Yang-Lee theory of phase transitions to an urn model of separation of sand. The effective partition function of this nonequilibrium system can be expressed as a polynomial of the size-dependent effective fugacity $z$.
A. Lipowski +10 more
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