Results 191 to 200 of about 10,260,715 (247)
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2001 European Control Conference (ECC), 2001
Two incompatible topologies appear in the study of adaptive systems: the graph topology in control design, and the coefficient topology in system identification. Their incompatibility is manifest in the stabilization problem of adaptive control. We argue that this problem can be approached by changing the geometry of the sets of control systems under ...
Felipe M. Pait, Benedetto Piccoli
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Two incompatible topologies appear in the study of adaptive systems: the graph topology in control design, and the coefficient topology in system identification. Their incompatibility is manifest in the stabilization problem of adaptive control. We argue that this problem can be approached by changing the geometry of the sets of control systems under ...
Felipe M. Pait, Benedetto Piccoli
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2010 International Conference on Machine Learning and Cybernetics, 2010
This paper proposes an adaptive proportional-integral-derivative (PID) controller which integrates the fuzzy sets with the Cerebella Model Articulation Controller (CMAC). Three gain parameters of PID controller, constructed by three fuzzy CMAC (FCMAC) models, are real-time modified in the sense of adaptation to solve the tracking control problem of a ...
Jen-Yang Chen +4 more
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This paper proposes an adaptive proportional-integral-derivative (PID) controller which integrates the fuzzy sets with the Cerebella Model Articulation Controller (CMAC). Three gain parameters of PID controller, constructed by three fuzzy CMAC (FCMAC) models, are real-time modified in the sense of adaptation to solve the tracking control problem of a ...
Jen-Yang Chen +4 more
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Decentralized adaptive control
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2002It is shown that in strictly decentralized adaptive control systems, it is theoretically possible to asymptotically track desired states (outputs) with zero error. The controller of each subsystem needs to know only the desired states (or outputs) of the other subsystems i.e. all the controllers share their prior information and cooperate implicitly.
Kumpati S. Narendra, Nicholas O. Oleng
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Adaptation Control in Adaptive Hypermedia Systems
2000A hypermedia application offers its users a lot of freedom to navigate through a large hyperspace, described by a domain model. Adaptive hypermedia systems (AHS) aim at overcoming possible navigation and comprehension problems by providing adaptive navigation support and adaptive content. The adaptation is based on a user model that represents relevant
Wu, H. +3 more
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Annual Review in Automatic Programming, 1995
Abstract Progress in the design and use of Model-Based Predictive Control is reviewed. The two-degree-of-freedom solution of many predictive algorithms enables optimal set-point response and rejection of known disturbance patterns, improves robustness against model/plant mismatch, or provides a compromise between these objectives.
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Abstract Progress in the design and use of Model-Based Predictive Control is reviewed. The two-degree-of-freedom solution of many predictive algorithms enables optimal set-point response and rejection of known disturbance patterns, improves robustness against model/plant mismatch, or provides a compromise between these objectives.
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On the Adaptive Control of the Acrobot
2019 18th European Control Conference (ECC), 2019The inverse dynamics of fully actuated mechanical systems with unknown physical parameters can be represented by linear combination of unknown constants and known time varying functions. This property, which allows the design of adaptive control for fully actuated mechanical systems, does not hold in general for underactuated mechanical systems, such ...
Manuel Gnucci, Riccardo Marino
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IFAC Proceedings Volumes, 1987
Abstract Adaptive control is seen as a two part problem, control of plant dynamics and control of plant noise. The parts are treated separately. An unknown plant will track an input command signal if the plant is driven by a controller whose transfer function approximates the inverse of the plant transfer function.
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Abstract Adaptive control is seen as a two part problem, control of plant dynamics and control of plant noise. The parts are treated separately. An unknown plant will track an input command signal if the plant is driven by a controller whose transfer function approximates the inverse of the plant transfer function.
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Adaptive control for quadrotors
2013 IEEE International Conference on Robotics and Automation, 2013This paper presents an indirect adaptive control methodology for quadorotors. The methodology aims at controlling a family of quadrotor micro air vehicle with a common set of sensors and processing hardware but with various sizes, configurations, payloads and propeller types.
Ameho, Yann +4 more
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On Fractional Adaptive Control
Nonlinear Dynamics, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ladaci, Samir, Charef, Abdelfatah
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The Adaptive Deadbeat Controller
IFAC Proceedings Volumes, 1990Abstract A reduced computational adaptive controller is presented, suitable for time varying stable non minimum phase systems. By linking a pole placement technique to a model reference system, significant computational savings can be made where the model chosen has a deadbeat response. The paper reports on the theory and stability criteria of such a
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