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Research on the design of adaptive control systems, volume 1 Final report [PDF]
Adaptive control systems - combined optimization and adaptive control, analysis-synthesis and passive adaptive systems, learning systems, and measurement adaptive ...
Dressler, R. M. +3 more
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Adaptive ℋ∞-control for nonlinear systems: a dissipation theoretical approach [PDF]
The adaptive ℋ∞-control problem for parameter-dependent nonlinear systems with full information feedback is considered. The techniques from dissipation theory as well as the vector and parameter projection methods are used to derive the adaptive ℋ ...
Lu, Wei-Min, Packard, Andy
core
Adaptive Control for Singularly Perturbed Systems
Singularly perturbed systems are a class of mathematical systems that are not well approximated by their limits and can be used to model plants with multiple fast and slow states.
Kameron Eves, John Valasek
doaj +1 more source
Adaptive Control for Nonlinear Systems with Time-Varying Control Gain
We propose a scheme for nonlinear plants with time-varying control gain and time-varying plant coefficients, on the basis of a plant model consisting of a Brunovsky-type model with polynomials as approximators.
Alejandro Rincon, Fabiola Angulo
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Adaptive output-feedback following control for time-delay systems
Adaptive control of the time-delay systems is presented in the paper. Despite the use of MRAC based design, only the model following (not perfect model following) is considered.
Tárník Marián +2 more
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In this paper, we consider controlling a class of single-input-single-output (SISO) commensurate fractional-order nonlinear systems with parametric uncertainty and external disturbance.
Li, Xinyao, Wen, Changyun, Zou, Ying
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Distributed adaptive iterative learning control for 2D multi agent systems
This letter addresses the output consensus problem for a class of two‐dimensional (2D) multi agent systems (MASs) described by Fornasini–Marchesini model.
Qingyuan Xu +4 more
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Stable Inverse Reinforcement Learning: Policies From Control Lyapunov Landscapes
Learning from expert demonstrations to flexibly program an autonomous system with complex behaviors or to predict an agent's behavior is a powerful tool, especially in collaborative control settings.
SAMUEL TESFAZGI +3 more
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This paper proposes a novel adaptive control framework for nonlinear teleoperation systems with dynamic and kinematic uncertainties and time-varying time delays. Master-slave synchronization in the task space is achieved. Compared with the previous work,
Yuling Li, Yixin Yin, Dezheng Zhang
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Fault-tolerant control for ships with thruster faults based on improved adaptive control allocation
Objective In the process of marine resource development, some thrusters of over-actuated ships are prone to failures during operation, resulting in a decrease in propulsion power.
Qi LANG +5 more
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