Results 51 to 60 of about 615,645 (274)
Finite-Time Incremental Passivity and Output Tracking Control for Switched Nonlinear Systems
IEEE Access, 2020 This paper studies the finite-time incremental passivity of switched nonlinear systems. Then, the established theory is applied to solve the finite-time output tracking control problem of switched nonlinear systems.
Shuo Liu, Hongbo Pang
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IET Control Theory & Applications, 2021 This paper investigates the composite hierarchical anti‐disturbance control problem for switched systems with saturating inputs, in which the multiple disturbances including normal‐bounded disturbances, white noises and nonlinear uncertainties are ...
Yunliang Wei, Guo‐Ping Liu, Jun Yang
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Distributed optimal control of a nonstandard nonlocal phase field system [PDF]
, 2016 We investigate a distributed optimal control problem for a nonlocal phase field model of viscous Cahn-Hilliard type. The model constitutes a nonlocal version of a model for two-species phase segregation on an atomic lattice under the presence of ...
Colli, Pierluigi +2 more
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IET Control Theory & Applications, 2021 This paper considers the problem of adaptive fault estimation and fault‐tolerant tracking control for a class of uncertain nonlinear systems with model uncertainty and process fault.
Yang Wu, Guoshan Zhang, Libing Wu
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Event‐triggered control of singularly perturbed linear system with DoS attacks
IET Control Theory & Applications, 2021 This paper presents the event‐triggered control problem of linear singularly perturbed systems in the presence of denial‐of‐service attacks. To save the communication and computing resources, event‐triggered mechanisms in two transmission channels are ...
Xiang Ren, Fei Hao
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emgr - The Empirical Gramian Framework
, 2018 System Gramian matrices are a well-known encoding for properties of input-output systems such as controllability, observability or minimality. These so-called system Gramians were developed in linear system theory for applications such as model order ...
Himpe, Christian
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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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Supplemental state observer‐based sliding mode control for a dynamic system
IET Control Theory & Applications, 2021 A supplemental state observer‐based sliding mode control (SSOBSMC) for a dynamic system is proposed in this paper. First, a supplemental state vector is formulated including system output and supplemental output.
Kun‐Yung Chen
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Design stable robust intelligent nonlinear controller for 6- DOF serial links robot manipulator [PDF]
, 2014 In this research parallel Proportional-Derivative (PD) fuzzy logic theory plus Integral part (I) is used to compensate the system dynamic uncertainty controller according to highly nonlinear control theory sliding mode controller. Sliding mode controller
Che Soh, Azura, Yadegar, Sanaz
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IET Control Theory & Applications, 2021 This article examines a decentralized event‐triggered robust model predictive control (MPC) for a class of networked large‐scale non‐linear Lipchitz systems. It is assumed that the subsystems are geographically distributed and the connections can be made
Saeid GHorbani +2 more
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