中文摘要：

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.

英文摘要：

A robust model predictive control method is proposed for networked control systems with uncertain time delay and input constraints, where the uncertain time delay is modeled as norm-bounded uncertainties in the input matrix.The upper bound of robust cost index and the sufficient condition of asymptotic stability are given,and the state feedback control law is obtained by convex optimization involving linear matrix inequalities（LMIs）.Validity of the proposed method is verified with simulations.