Hierarchical fuzzy sliding-mode control

Mon, Yi-Jen; Lin, Chunshui

doi:10.1109/fuzz.2002.1005070

Cited by 15 publications

(6 citation statements)

References 11 publications

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“…Mon and Lin [36] using hierarchical sliding mode control achieved inverted pendulum stabilization in about 10 sec (for initial pole angle x 3 = π/3). Considering larger pole angle this stabilisation time is a good result.…”

Section: Comparison Of Resultsmentioning

confidence: 99%

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Selection and impact of different topologies in multi-layered hierarchical fuzzy systems

Zajaczkowski

Verma

2011

Appl Intell

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An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems (HFS) is presented. Coupling fuzzy system with evolutionary algorithm provides a solution to the automated acquisition of the fuzzy rule base. It is difficult to study the problem of hierarchical decomposition for a large class of fuzzy systems but it is possible to analyse such architectures on the example of a particular fuzzy system, such as inverted pendulum. Topology of the HFS must be selected according to the physical properties of the dynamical system under consideration. Different HFS topologies for an inverted pendulum system are investigated and analysed to address the problem of how input configuration in multi-layered structure affects the controller performance. The experiments are conducted to test controller performance for different topologies of the hierarchical fuzzy system. The impact of different topologies on control process is discussed. The results from the case study of inverted pendulum can be extended to other dynamical systems.

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Section: Comparison Of Resultsmentioning

confidence: 99%

“…Mon and Lin [36] proposed a hierarchical fuzzy slidingmode control to achieve asymptotic stability of the system. The nonlinear system is decomposed into several subsystems and the state response of each subsystem can be designed to be governed by a corresponding sliding surface.…”

Section: Related Workmentioning

confidence: 99%

Selection and impact of different topologies in multi-layered hierarchical fuzzy systems

Zajaczkowski

Verma

2011

Appl Intell

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“…If the derivativeV is negative definite, then the system is asymptotically stable, i. e., its trajectories will approach the sliding surface, ultimately converging to the origin [26].…”

Section: Hierarchical Sliding Mode Controlmentioning

confidence: 99%

Robust hierarchical sliding mode control with state-dependent switching gain for stabilization of rotary inverted pendulum

Idrees¹,

Muhammad²,

Ullah³

2019

Kybernetika

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“…Sliding mode control is widely used to cope with many nonlinear systems. As mentioned in [5][6][7][8][9][10][11][12], major advantages of sliding mode control include insensitive to external disturbances, robustness against system uncertainty, stability guaranteed of the system, fast dynamic response, and simple to implement. In [13], a multi-level (hierarchical) sliding model based decoupling control was proposed to successfully stabilize a class of under-actuated systems.…”

Section: Introductionmentioning

confidence: 99%

“…Fuzzy control has been wildly used in many applications [8,10]. Based on the property that a fuzzy system can be an universal function approximator, as proved in [17,18], the so-called adaptive fuzzy controls have been developed by using the feedback linearization or the backstepping approach as discussed in [19].…”

Section: Introductionmentioning

confidence: 99%

Direct Adaptive Fuzzy Sliding Mode Control for Under-actuated Uncertain Systems

Hsueh

Tseng

et al. 2015

Int. J. Fuzzy Log. Intell. Syst.

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The development of the control algorithms for under-actuated systems is important. Decoupled sliding mode control has been successfully employed to control under-actuated systems in a decoupling manner with the use of sliding mode control. However, in such a control scheme, the system functions must be known. If there are uncertainties in those functions, the control performance may not be satisfactory.In this paper, the direct adaptive fuzzy sliding mode control is employed to control a class of under-actuated uncertain systems which can be regarded as a combination of several subsystems with one same control input. By using the hierarchical sliding control approach, a sliding control law is derived so as to make every subsystem stabilized at the same time. But, since the system considered is assumed to be uncertain, the sliding control law cannot be readily facilitated. Therefore, in the study, based on Lyapunov stable theory a fuzzy compensator is proposed to approximate the uncertain part of the sliding control law. From those simulations, it can be concluded that the proposed compensator can indeed cope with system uncertainties. Besides, it can be found that the proposed compensator also provide good robustness properties.

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Hierarchical fuzzy sliding-mode control

Cited by 15 publications

References 11 publications

Selection and impact of different topologies in multi-layered hierarchical fuzzy systems

Selection and impact of different topologies in multi-layered hierarchical fuzzy systems

Robust hierarchical sliding mode control with state-dependent switching gain for stabilization of rotary inverted pendulum

Direct Adaptive Fuzzy Sliding Mode Control for Under-actuated Uncertain Systems

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