This paper studies the input-output finite-time stabilization problem for time-varying linear singular sys- tems. The output and the input refer to the controlled output and the disturbance input, respectively. Two classes of dis- turbance inputs are considered, which belong to L-two and L-infinity. Sufficient conditions are firstly provided which guarantee the input-output finite-time stability. Based on this, state feedback controllers are designed such that the resultant closed-loop systems are input-output finite-time stable. The conditions are presented in terms of differential linear matrix inequalities. Finally, an example is presented to show the validity of the proposed results.
静态的热环境易造成人体热适应能力降低,对健康不利。动态的热环境与自然环境相似更有利于用户的健康。提出一种基于用户学习的智能动态热舒适控制系统,在该系统中采用PMV(Predicted Mean Vote)作为控制目标,为了满足不同用户的需要提出个人热舒适区模糊学习算法,可根据个人偏好在线修改个人热舒适区;在计算实验的基础上提出动态热舒适控制策略,动态热舒适区包括舒适区和节能区,在动态热舒适控制中舒适区和节能区周期性交替变化。实验结果表明,该方法即满足用户的热舒适性需求,与静态热舒适控制相比节能效果明显,且对用户的健康有利。