具有离散和分布时滞系统的鲁棒有限时间能量-峰值控制

研究了不确定线性时滞系统在有限时间能量-峰值性能指标约束下的鲁棒控制问题.系统的系数矩阵包含范数有界的不确定性,状态包含离散时滞和分布时滞.引入一个含参数的Lyapunov泛函,通过检验它的指数增长情况,为状态和输出定界,据此得到了闭环系统对于所有允许的不确定性有限时间有界以及满足预先指定的能量-峰值性能指标的充分条件,同时给出了状态反馈控制率.这些条件是有特征值约束的线性矩阵不等式,通过把特征值约束转换成非线性矩阵不等式,设计了锥补偿线性化(CCL)算法来求解这样的矩阵不等式,最后用数值算例验证了所得方法的有效性.

Robust Finite-Time Energy-to-Peak Control for Systems with Discrete and Distributed Delays

The robust finite-time control problem under the constraint of energy-to-peak performance index was investigated for linear systems with delays. Norm-bounded uncertainties was included in the coefficient matrices of systems and discrete and distributed delays were included in the states. A Lyapunov functional involving a parameter was introduced. Its exponential growth was checked for bounding the states and outputs. Then， sufficient conditions were derived guaranteeing that the closed-loop systems are finite-time bounded and satisfy prescribed energy-to-peak performance index for all admissible uncertainties. What’s more， the control law was obtained simultaneously. These conditions were formulated in terms of linear matrix inequalities with an eigenvalue constraint. Through transforming the constraint to nonlinear matrix inequalities， a cone complementarity linearization algorithm was designed to solve such matrix inequalities. An example was presented to show the effectiveness of the proposed method.