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首页> 外文期刊>ISA Transactions >Reachable set estimation for Takagi-Sugeno fuzzy systems against unknown output delays with application to tracking control of AUVs
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Reachable set estimation for Takagi-Sugeno fuzzy systems against unknown output delays with application to tracking control of AUVs

机译:用于跟踪AUV控制的未知输出延迟的Takagi-Sugeno模糊系统的可达设定估计

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摘要

In this paper, we address the problem of reachable set estimation for continuous-time Takagi-Sugeno (T-S) fuzzy systems subject to unknown output delays. Based on the reachable set concept, a new controller design method is also discussed for such systems. An effective method is developed to attenuate the negative impact from the unknown output delays, which likely degrade the performance/stability of systems. First, an augmented fuzzy observer is proposed to capacitate a synchronous estimation for the system state and the disturbance term owing to the unknown output delays, which ensures that the reachable set of the estimation error is limited via the intersection operation of ellipsoids. Then, a compensation technique is employed to eliminate the influence on the system performance stemmed from the unknown output delays. Finally, the effectiveness and correctness of the obtained theories are verified by the tracking control of autonomous underwater vehicles. (C) 2018 ISA. Published by Elsevier Ltd. All rights reserved.
机译:在本文中,我们解决了经过未知输出延迟的连续Takagi-Suggeno(T-S)模糊系统的可达集合估计问题。基于可达的集合概念,还讨论了一种新的控制器设计方法对这种系统进行了讨论。开发了一种有效的方法以衰减来自未知输出延迟的负面影响,这可能降低了系统的性能/稳定性。首先,提出了一种增强的模糊观察者,以便由于未知的输出延迟而能够对系统状态的同步估计和干扰期限,这确保了通过椭圆体的交叉操作受到限制的可达的估计误差。然后,采用补偿技术来消除对从未知输出延迟源的系统性能的影响。最后,通过自动水下车辆的跟踪控制来验证所获得的理论的有效性和正确性。 (c)2018 ISA。 elsevier有限公司出版。保留所有权利。

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