共查询到19条相似文献,搜索用时 78 毫秒
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针对有输入约束的不确定时延网络控制系统,提出鲁棒模型预测控制方法;其中,将不确定时延建模为范数有界的输入矩阵的不确定性.给出了鲁棒性能指标的上界和系统渐近稳定的充分条件,通过在线求解LMI凸优化问题得到状态反馈控制律.仿真例子验证了该方法的有效性. 相似文献
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基于CARMA模型的广义预测控制解耦设计 总被引:2,自引:3,他引:2
王东风 《自动化技术与应用》2001,(6):5-7
针对CARMA模型描述的双输入双输出多变量强耦合系统,首先将系统分解为两个双输入单输出系统,在各系统中分别将另一输入量暂视为一种干扰,并用广义预测控制原理设计控制器。通过再次引入丢番图方程并求解二元一次矩阵方程组,实现了多步预测的解耦控制,新的方法对各预测时域和控制时域可针对不同通道间的不同响应特性而具体选择,参数调整更加灵活,活算量相对减少。 相似文献
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针对一类基于网络的运动控制系统中存在的时延和丢包问题进行研究。对于网络运动控制系统存在数据时延和丢包的情况,建立网络运动控制系统模型。在此模型下,对预测函数控制算法进行分析,设计了预测函数控制产生器和数据延时预测补偿器,并研究相应的补偿策略。仿真分析表明算法的合理性和有效性。 相似文献
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网络延时的存在不仅会使控制系统的动、静态性能变差,还可能会破坏系统的稳定性,造成既有控制方法的失效。针对带有随机延时的网络控制系统,提出了一种基于网络延时实时预测和系统状态逼近的控制方法。首先,建立无延时的理想控制系统模型作为标准控制系统模型;其次,应用基于隐马尔可夫模型(HMMs)的延时预测算法预测网络延时,该方法能够实时自适应学习,以适应网络负载情况的变化,得到更符合实际情况的延时预测值;最后,根据网络延时的预测值、实际网络控制系统与标准控制系统模型的状态之差,来调整控制信号,从而使实际网络控制系统的状态与标准控制系统模型接近、甚至相等,达到期望的控制效果。数字仿真结果表明,这一方法是可行的,能够获得更加快速的动态性能和稳定的静态性能。 相似文献
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根据网络控制系统的时延上界及对象模型,建立网络控制系统的整体模型,应用极点配置广义预测方法进行控制器的设计,以保证网络控制系统控制的有效性与稳定性.考虑到网络时延的随机性,基于神经网络建立网络时延误差的预测补偿模型,用时延误差预测值对输出预测值进行补偿,构成基于极点配置和误差补偿的网络控制系统预测控制算法.仿真结果表明,本文方法有较高精度,可快速收敛. 相似文献
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针对网络延时的问题,本文提出了一种改进的模型预测控制方法.该方法是利用MPC(模型预测控制)预测的将来控制信号来补偿前向通道出现的延时或中断,同时用一个预测器来补偿反馈通道延时.文中描述了它们的控制特性并讨论了该网络控制系统的稳定性,并用实例仿真验证该方法的可行性和有效性. 相似文献
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This paper considers the dynamic output feedback robust model predictive control (MPC) of a quasi-linear parameter varying (quasi-LPV) system with bounded noise. In our previous works, for the unknown true state, either its ellipsoidal bounds or its polyhedral bounds were solely applied in the main optimisation problem. The recursive feasibility of the main optimisation problem was guaranteed by a simple refreshment of the ellipsoidal bound, but might be lost by applying the polyhedral bounds. This paper shows how and to what extent the recursive feasibility can be restored when the polyhedral bounds are still utilised. First, we propose a new approach which, at each sampling time, utilises either the ellipsoidal bound or the polyhedral bound in the main optimisation problem, the latter being used if and only if it is contained in the former. Then, we show the sufficient conditions under which the approaches based on polyhedral bounds preserve the property of recursive feasibility. A numerical example is given to illustrate the effectiveness of the controller. 相似文献
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Xubin Ping Jianchen Hu Tingyu Lin Baocang Ding Peng Wang Zhiwu Li 《IEEE/CAA Journal of Automatica Sinica》2022,9(10):1717-1751
For constrained linear parameter varying (LPV) systems, this survey comprehensively reviews the literatures on output feedback robust model predictive control (OFRMPC) over the past two decades from the aspects on motivations, main contributions, and the related techniques. According to the types of state observer systems and scheduling parameters of LPV systems, different kinds of OFRMPC approaches are summarized and compared. The extensions of OFRMPC for LPV systems to other related uncertain systems are also investigated. The methods of dealing with system uncertainties and constraints in different kinds of OFRMPC optimizations are given. Key issues on OFRMPC optimizations for LPV systems are discussed. Furthermore, the future research directions on OFRMPC for LPV systems are suggested. 相似文献
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This paper presents a framework to deal with distributed optimization problems composed by binary and continuous variables. Instead of using a mixed integer quadratic programming (MIQP), the approach proposed here transforms the MIQP into a set of quadratic programming's (QP) that are easier to solve. In this way an instance of the controller related to each feasible combination of binary variables is created. The distributed controller performs an iterative process where the set of agents must agree on the value of continuous interconnection variables, while each agent must decide the values of local binary variables. During the iteration procedure the instances are rated according to a performance index and the instances with best performance are selected until the best one is obtained. The proposed methodology is applied to economic optimization of networked microgrids. 相似文献
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This paper investigates a general design framework of dynamic output feedback model predictive control (DOFMPC) for Markov jump systems within both time and frequency domain. Such a design with guaranteed H∞ and quadratic performance is formulated by a standard semi-definite programming (SDP), and it is achieved by employing a special congruence transformation. The SDP condition greatly reduces the computational effort by eliminating bilinear matrix inequalities or equation constraints reported in existing references. Specifically, the H∞ norm of the transfer function is optimized within three types of frequency ranges on account of generalized Kalman–Yakubovic–Popov (GKYP) lemma. The quadratic index is optimized online via SDP. Finally, we verify the feasibility and effectiveness of the proposed method from both theoretical and practical point of view. 相似文献