Results 281 to 290 of about 2,359,184 (334)
Adaptive control and state error prediction of flexible manipulators using radial basis function neural network and dynamic surface control method. [PDF]
Zhang Y, Zhao L.
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Novel adaptive control approach to fractal fractional order deforestation model and its impact on soil erosion. [PDF]
Priya P +3 more
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The Design and Adaptive Control of a Parallel Chambered Pneumatic Muscle-Driven Soft Hand Robot for Grasping Rehabilitation. [PDF]
Zhou Z +5 more
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IFAC Proceedings Volumes, 1994
Abstract To find a suitable combination of control and parameter estimation algorithms in adaptive control schemes is not an easy task. Moreover, some requirements on the algorithms and the operating conditions must be fullfilled. Students must experience these difficuties.
M. Martinez +3 more
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Abstract To find a suitable combination of control and parameter estimation algorithms in adaptive control schemes is not an easy task. Moreover, some requirements on the algorithms and the operating conditions must be fullfilled. Students must experience these difficuties.
M. Martinez +3 more
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Adaptive Signal Processing for Adaptive Control
IFAC Proceedings Volumes, 1983A few of the well established methods of adaptive signal processing are modified and extended for application to adaptive control. An unknown plant will track an input command signal if the plant is preceded by a controller whose transfer function approximates the inverse of the plant transfer function.
B. Widrow, E. Walach
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2014
It is well known that adaptive control is an effective approach method to deal with system with unknown parameters. This chapter studies the adaptive control problem of SMJSs with general TRMs. First, an adaption law is proposed to estimate the upper bound on the unknown parameters related to uncertain TRM.
Wang, Guoliang +2 more
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It is well known that adaptive control is an effective approach method to deal with system with unknown parameters. This chapter studies the adaptive control problem of SMJSs with general TRMs. First, an adaption law is proposed to estimate the upper bound on the unknown parameters related to uncertain TRM.
Wang, Guoliang +2 more
+4 more sources
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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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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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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Adaptive Decentralized Control.
1984Abstract : This Final Report summarizes the results of a research effort directed towards the development of adaptive decentralized control systems. The adaptive controller in such a system must operate in the presence of unmodeled dynamics. An input-output approach was developed for analyzing the global stability and robustness properties of adaptive ...
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