Sliding-Mode Control With Soft Computing: A Survey
Sliding-Mode Control With Soft Computing: A Survey
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DOI：
10.1109/tie.2009.2027531
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发表时间：
2009-07
影响因子：
7.7
通讯作者：
Xinghuo Yu;O. Kaynak
中科院分区：
文献类型：
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作者：
Xinghuo Yu;O. Kaynak
滑模控制(SMC)因其结构简单、对参数变化和扰动具有较强的鲁棒性而得到了广泛的研究和实际应用。尽管开展了广泛的研究活动，但由于对新的工业应用和技术进步的需求，与SMC相关的关键技术问题仍然是具有挑战性的研究问题。在这方面，软计算(SC)是智能系统中相当新的发展，它为自适应学习和控制提供了替代手段，以克服SMC的关键技术问题。近年来，在将SMC与SC相结合方面作出了大量努力，并取得了各种成功。在这篇文章中，我们提供了最新发展的SMC系统与SC，审查关键技术研究问题和未来的前景。
Sliding-mode control (SMC) has been studied extensively for over 50 years and widely used in practical applications due to its simplicity and robustness against parameter variations and disturbances. Despite the extensive research activities carried out, the key technical problems associated with SMC remain as challenging research questions due to demands for new industrial applications and technological advances. In this respect, soft computing (SC) is a rather recent development in intelligent systems which has provided alternative means for adaptive learning and control to overcome the key SMC technical problems. Substantial efforts in integration of SMC with SC have been placed in recent years with various successes. In this paper, we provide the state of the art of recent developments in SMC systems with SC, examining key technical research issues and future perspectives.