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作 者:Yun‐Shan Wei Jin‐Fan Wang Jia‐Xuan Wang Qing‐Yuan Xu Jaime Lloret
机构地区:[1]School of Electronics and Communication Engineering,Guangzhou University,Guangzhou,China [2]School of Electronic and Information,Guangdong Polytechnic Normal University,Guangzhou,China [3]Universitat Politècnica de València,Valencia,Spain
出 处:《CAAI Transactions on Intelligence Technology》2023年第3期645-660,共16页智能技术学报(英文)
基 金:supported in part by the National Natural Science Foundation of China of No.61903096;Guangzhou Key Laboratory of Software‐Defined Low Latency Network of No.202102100006;Guangdong Basic and Applied Basic Research Foundation of No.2020A1515110414.
摘 要:For linear time varying(LTV)multiple input multiple output(MIMO)systems with vector relative degree,an open‐closed‐loop iterative learning control(ILC)strategy is developed in this article,where the time interval of operation is iteration dependent.To compensate the missing tracking signal caused by iteration dependent interval,the feedback control is introduced in ILC design.As the tracking signal of many continuous iterations is lost in a certain interval,the feedback control part can employ the tracking signal of current iteration for compensation.Under the assumption that the initial state vibrates around the desired initial state uniformly in mathematical expectation sense,the expectation of ILC tracking error can converge to zero as the number of iteration tends to infinity.Under the circumstance that the initial state varies around the desired initial state with a bound,as the number of iteration tends to infinity,the expectation of ILC tracking error can be driven to a bounded range,whose upper bound is proportional to the fluctuation.It is revealed that the convergence condition is dependent on the feed-forward control gains,while the feedback control can accelerate convergence speed by selecting appropriate feedback control gains.As a special case,the controlled system with integrated high relative degree is also addressed by proposing a simplified iteration dependent interval based open‐closed‐loop ILC method.Finally,the effectiveness of the developed iteration dependent interval based open‐closed‐loop ILC is illustrated by a simulation example with two cases on initial state.
关 键 词:intelligent control iterative methods
分 类 号:TP13[自动化与计算机技术—控制理论与控制工程]
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