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研究一类不确定非线性时变系统的预设暂态性能渐近状态跟踪控制问题. 在无需系统函数先验知识的条 件下, 本文采用漏斗控制技术和障碍李雅普诺夫函数方法, 提出了一种新颖的鲁棒自适应状态反馈控制策略. 所设 计的控制器不仅能够确保状态跟踪误差渐近收敛到零点, 而且满足其预先设定的性能要求. 仿真实例验证了所提控 制策略的有效性.  相似文献
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In this paper, we provide a novel scheme to solve the motion planning problem of multi-agent systems under high-level task specifications. First, linear temporal logic is applied to express the global task specification. Then an efficient and decentralized algorithm is proposed to decompose it into local tasks. Moreover, we use control barrier function to synthesize the local controller for each agent under the linear temporal logic motion plan with safety constraint. Finally, simulation results show the effectiveness and efficiency of our proposed scheme.  相似文献
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This article focuses on the tracking control problem for switched nonlinear systems in strict-feedback form subject to an output constraint. In order to prevent transgression of the constraint, a barrier Lyapunov function is employed, which grows to infinity when its arguments approach domain boundaries. Under the simultaneous domination assumption, a continuous controller for the switched system is constructed. Furthermore, asymptotic tracking is achieved without violation of the constraint, and all closed-loop signals keep bounded, when a mild requirement on the initial condition is satisfied. Finally, a simulation example is provided to illustrate the effectiveness of the proposed results.  相似文献
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We use multivariable feedback control to reduce variations in flow and back-pressure associated with two industrial separator units forming part of an edible oil refining line. This provides plant operators with a mechanism for increasing process yield without reducing product quality. Actuator limits are a natural consideration in the controller design since increased production rates require actuators to operate on or near their limits. We use recentred barrier function model predictive control in this application and obtain favourable results.  相似文献
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A new formulation of nonlinear model predictive control (MPC) is developed by including a weighted barrier function in the control objective. While the barrier ensures that inequality constraints are strictly satisfied it also provides a smooth transition between points in the interior and those on the boundary of the constraint set. In addition, the resulting optimisation problem, to be solved at each control step, is effectively unconstrained and thus amenable to elegant optimisation techniques. The barrier must satisfy certain conditions in order that the state converges to the origin and we show how to construct such a barrier. Conventional MPC may be seen as a limiting case of the new class as the barrier weighting itself approaches zero. We pay particular attention to the novel approach of fixing the weighting parameter to some positive value—possibly large—and observe that this provides a degree of controller caution near constraint boundaries. We construct an ellipsoidal invariant set by exploiting the geometry of self-concordant functions and show nominal closed-loop stability for this class of controllers under full state feedback.  相似文献
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本文设计了一种基于屏障控制函数(CBF)的分布式协同控制算法, 实现了领航–跟随者框架下非完整约束 多智能体系统的连通性与编队控制. 首先, 通过将连通性保持问题建模为系统约束, 定义了该约束的调零屏障函 数(ZBF). 其次, 在此基础上, 构建李雅普诺夫函数与角速度输入之间的关系, 对跟随者智能体设计了基于调零屏障 函数的协同控制算法, 其中线速度控制器保证跟随者的速度的跟踪与队形的跟踪, 而梯度型角速度控制器实现跟随 者角度的矫正. 然后, 利用调零屏障函数不变集相关引理证明了连通性约束集为正不变集, 若初始时刻连通, 则跟随 者智能体始终与领航者保持连通性. 同时, 本文提出的算法实现编队误差的渐近收敛. 本文中的队形适用常见的固 定队形编队需求, 也适用于领航者是动态(有线速度和角速度)的情况. 最后, 通过数值仿真进一步验证了该算法在 不同队形需求下的有效性.  相似文献
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