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Titlebook: Adaptive Control of Nonsmooth Dynamic Systems; Gang Tao,Frank L. Lewis Book 2001 Springer-Verlag London 2001 actuator.actuator failure.aug

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發(fā)表于 2025-3-21 17:14:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Adaptive Control of Nonsmooth Dynamic Systems
影響因子2023Gang Tao,Frank L. Lewis
視頻videohttp://file.papertrans.cn/145/144615/144615.mp4
發(fā)行地址Many of the non-smooth, non-linear phenomena covered in this book are of vital importance in almost any field of engineering.Contributors from all over the world ensure that no one area‘s slant on the
圖書封面Titlebook: Adaptive Control of Nonsmooth Dynamic Systems;  Gang Tao,Frank L. Lewis Book 2001 Springer-Verlag London 2001 actuator.actuator failure.aug
影響因子.A complete reference to adaptive control of systems with nonsmooth industrial nonlinearities such as: backlash; dead-zones; component failure; friction; hysteresis; saturation; and time delays...Actuator nonlinearities are ubiquitous in engineering practice and limit control system performance. While standard feedback control alone cannot handle these nonsmooth nonlinearities effectively, this book shows how such nonlinear characteristics can be compensated for by using adaptive and intelligent control techniques. This allows desired system performance to be achieved in the presence of uncertain nonlinearities. .With surveys of literature and summaries of various design methods, the contributors present new solutions to some important issues in adaptive control of systems with various sorts of nonsmooth nonlinearities..The book motivates more research activities in the field of adaptive control of nonsmooth nonlinear industrial systems by formulating several challenging open problems in related areas..
Pindex Book 2001
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發(fā)表于 2025-3-22 00:00:20 | 只看該作者
Wolfgang Hartl,Karl-Walter Jauchd zone is measurable, it is shown in the chapter that the effect of the unknown dead zone on the closed loop system can be eliminated asymptotically with no assumptions on the persistent excitation of the input signal. The results do not rely on the linearity property of the system and therefore can
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發(fā)表于 2025-3-22 04:00:47 | 只看該作者
Transplantationsmedizin und Immunsuppressionlash and other motion control actuator nonlinearities. The novel NN consists of neurons having standard sigmoid activation functions, plus some additional neurons having a special class of nonsmooth activation functions termed ‘jump approximation basis functions’. This augmented NN with additional n
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Antibiotikaprophylaxe und -therapie. This framework, which addresses both abrupt and incipient faults, utilizes a nonlinear adaptive detection observer along with an on-line approximation scheme for failure assessment. The actuator failure is modeled as an additive perturbation of the actuator signal (actuator gain) that may be descr
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Transplantationsmedizin und Immunsuppressione stuck at some fixed or varying values which cannot be influenced by control action. Control problems of state feedback for state tracking, state feedback for output tracking, and output feedback for output tracking are addressed. Conditions and controller structures for achieving plant-model state
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Manometrie und Elektromyographie,ints, such as physical limit stops or regions in state space into which the system should not venture. Design of control systems for such processes has eluded treatment by some of the currently popular methods, such as feedback linearization, that require differentiable (‘smooth’) nonlinearities. Th
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Mikrobiologische Untersuchungen,. In order to achieve high precision motion control, accurate friction modeling and effective compensation techniques have to be investigated. In this chapter, we shall present a systematic treatment of adaptive friction compensation techniques from both engineering and theoretical aspects. Firstly,
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https://doi.org/10.1007/978-3-642-77233-7is modeled by a dynamic equation. By utilizing this dynamic model and by combining a universal function approximator with adaptive control techniques, a stable robust adaptive control algorithm is developed without constructing a hysteresis inverse. The stability of the close-loop system is shown us
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