## 4 Development of NCS from 2011 Onwards
Then, a channel utilization-based switched controller was designed to asymptotically stabilize the networked system in the sense of mean-square. It was shown that the proposed approach enhances the robustness of the networked control system to data drift and external disturbances. In Reference [100], the cascade control was employed for stabilization of the singular NCSs. In Reference [101], a network-based output controlled T-S fuzzy system was investigated that is steadied using a delayed fuzzy static controller, and not by any non-delayed static controller. In Reference [102], a novel robust variable sampling period controller (RVSPC) was developed that takes into account random time delays and losses in data-packets. In Reference [103], a decentralized event-triggered dissipative control was studied for systems having diverse physical characteristics. In Reference [104], a distributed NCS scheme was proposed by considering the communication delays. The results were applied to reduce the inter-area swing oscillations in a power grid. A brief overview of NCSs was presented by [PERSON] [105] regarding the system configurations, challenging issues, and the methodologies. In Reference [106], a time-triggered zooming algorithm for the dynamic quantization at the sensor side was proposed that led to an exponentially stable closed-loop system. The algorithm included proper initialization of the zoom parameter. An exhaustive explanation of the various types of networked control techniques is given by Reference [107]. The \(H\infty\) output feedback control of NCSs with time delay and dropout in data-packets were considered in Reference [108], whereas Reference [109] discovered the nonlinear networked systems with tracking control problem. In Reference [110], the data that uses self-healing technology was reviewed as input and was justified as big data. In Reference [111] the method for time-delays in large-scale networked systems connecting sensors, controllers, and actuators was developed. A new sampling and control strategy was proposed by Reference [112] to search a sub-optimal sampling sequence and control input sequence to minimize the disordering of data-packets. Further, in Reference [113], an original state space model was set up, in which both the tracking error and the state variables were combined and optimized. The optimal estimation problem in lossy NCSs with randomly dropped control data-packets was elaborated in Reference [114]. In Reference [115], the problem of Sliding Mode Controller (SMC) for NCSs was considered with semi-stochastic switching, popularly known as Markov or stochastic switching and having unsystematic dimensions. In Reference [116], a phenomenon of self-triggered sampling was proposed for a networked system with considerations of data losses and delay in communication. In Reference [117], both the \(\mathbf{D}\)-stability, as well as the properties of finite \(\mathbf{L}\)2-gain, were studied for a class of uncertain discrete-time systems with time varying network-induced delays [118; 119]. A summary of the distributed NCSs was presented by Reference [105]. In Reference [120], stochastic nonlinear time-delay systems were considered that take the help of observer-based fuzzy output-feedback control (OFOFC). In Reference [121], the stochastic linear systems with random data dropout designed by a Bernoulli random variable were described. In Reference [122], the state and fault estimation problem for Linear Time (LT) switched systems with immediate disturbances and faults, was considered. Also, the two types of observer-based approaches were considered. A procedure to evaluate the wellbeing of Centralized Power Systems (CPSs) in the event of cyber-attacks was described by Reference [123]. The problem of switched type networked systems with external disturbance and faults was investigated in Reference [124]. In Reference [125], the main cause of \(H\infty\) control for uncertain discrete-time domain T-S fuzzy systems was considered.