The problem of $\mathcal{L}_2$ stabilization of a state feedback stochastic control loop is investigated under different constraints. The discrete time linear time invariant (LTI) open loop plant is chosen to be unstable. The additive white Gaussian noise is assumed to be stationary. The link between the plant and the controller is assumed to be a finite capacity stationary channel, which puts a constraint on the bit rate of the transmission. Moreover, the state of the plant is observed only intermittently keeping the loop open some of the time. In this manuscript both scalar and vector plants under Bernoulli and Markov intermittence models are investigated. Novel bounds on intermittence parameters are obtained to ensure $\mathcal{L}_2$ stability. Moreover, novel recursive quantization algorithms are developed to implement the stabilization scheme under all the constraints. Suitable illustrative examples are provided to elucidate the main results.
Koopman-Based Robust Model Predictive Control for Nonlinear Systems with Stochastic Intermittent Measurements
Harbin Institute of Technology（哈尔滨工业大学）；School of Astronautics, Harbin Institute of Technology（哈尔滨工业大学航天学院）；Nanyang Technological University（南洋理工大学）；Nanyang Environment and Water Research Institute (NEWRI)（南洋环境与水研究）
Distributed Parameter Estimation Under Event-triggered Communications
ACCESS Linnaeus Centre, School of Electrical Engineering and Computer Science. KTH Royal Institute of Technology, Sweden（ACCESS林奈中心，电气工程和计算机学院，瑞典皇家理工学院）；LSC, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China（系统与控制实验室，数学与系统科学研究院，中国科学院）；University of Chinese Academy of Sciences, China（中国科学院大学）；College of Control Science and Engineering. Zhejiang University, China（控制科学与工程学院，浙江大学）
Adaptive Event-triggered Control with Sampled Transmitted Output and Controller Dynamics
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology（华中科技大学人工智能与自动化学院）；Key Laboratory of Imaging Processing and Intelligence Control（图像处理与智能控制重点实验室）
