## 3 Development of NCS between 2001 to 2010
In Reference [72], compensation ways were studied, within the structure of NCS, while considering the protocol characteristics. A general framework was projected initially, wherever the zero-order hold had the logical capability of selecting the most recent control input packet. A category of period of time control systems during which every control task triggers its next unleash supported the worth of the last sampled state were examined by Reference [73]. In Reference [74], a memory less quantizer for steadying a single-input discrete-time Linear Time Invariant (LTI) system with random loss in data-packets, was proposed within the sense of unsystematic quadratic stability. [PERSON] et al. [75] generalized and unified a variety of recent developments in the literature pertaining to quantized control systems (QCS) and NCS. They provided a unified framework for the controller style with division and time planning via an emulation-like approach. Improved stability conditions were derived in Reference [76] for sampled-data feedback control systems with falteringly Linear Time Variant (LTV) sampling intervals. The cause of robust \(H\)o control was researched by Reference [77] for sampled-data systems with probabilistic sampling. By Linear Matrix Inequality (LMI) approach, enough situations were produced, that bonded the robust mean-square exponential stability of the system. An event-driven state-feedback type of control technique in which a control input generator mimicked a continuous feedback between two successive event times was published by Reference [78]. In Reference [79], focus was given on different factors, such as networking technology, delay network induced delay, resource allocation of networks, scheduling, fault bearing capacity, etc. In Reference [80], an original totally time period dependent Lyapunov function was proposed in the construction of the input delay that improves the existing results. In Reference [81], the cause of the NCSs having exponential stability with the increase in delay time-periods, was studied. The cause of robust fault calculation for a class of tentative networked systems with arbitrary communication delays induced by the network was inspected by Reference [82], which also described the delays by Markov processes. In Reference [83], wireless sensor networks for networked manufacturing systems were proposed. The above historical development is summarized in tabular form in Table 3 on the basis of area/network/parameter as follows. The above, Table 3, gives a structured information about the distribution of papers in different areas published during the phase from 2001 to 2010. On scheduled networks, there are around 6 papers; on stability analysis-based systems, there are around 15 papers; on complex and interactive networks, there are around 5 papers; on communication and event-based networks there are around 4 papers, etc. Event-based approach was still in the developmental phase as it was a new technique. Delay-based systems were popular during this stage that were used to overcome the drawbacks of the research prior to year 2000. So, scheduled, autonomous, event-based, and communication-based approaches came into existence during this phase. The major drawbacks prior to year 2000 were: security issues, effect of delay on networked systems, effect of packet dropouts in communication networks, etc. So, to overcome these issues, scheduled approach-based network came into existence. The distribution of the papers during this phase are shown in Figure 4. The major focus was on delay-based approaches in networked system to improve the flow of information in networked system and make the system stable.