Event‐triggered observer‐based robust H_∞ control for networked control systems with unknown disturbance

Abstract

INTRODUCTIONNetworked control systems (NCSs) are described as the spatially distributed systems in which the sensors, actuators, and controllers are connected via a shared communication network. In comparison with traditional systems, the NCSs possess many advantages such as great flexibility, convenient maintenance, low cost of installation, and so on. Yet, along with these advantages, some challenging issues (bandwidth allocation, communication delay, packet dropouts, packet disorders, and channel fading) emerged and gave rise to much attention. Then most recently, the research on the NCSs has become a heated topic and many elegant results have been proposed. 1-29 For instance, in Reference 1, an optimal linear filter for the NCSs was designed with involving time-correlated fading channels.As for distributed NCSs, in Reference 2, both communication constraints (packet dropouts and quantization) and switching topology were addressed. Meanwhile, since communication delay inevitably exists and leads to poor performance, then References 3-7 deeply studied its negative effects when designing the controllers. In Reference 3,

Dynamic event‐triggered H∞ load frequency control for multi‐area power systems with communication delays

“…Model predictive control, 2 fuzzy control, 3 and PI control 4 have been extensively used in LFC. In contrast, PI control has better robustness and does not depend on the accurate model of the power system, which is the most widely implemented control method in the current industrial field 5‐23 …”

“…Moreover, considerable sampled date packets need to be transmitted in a networked interconnected control system with bandwidth constraints 13 . These inspire scholars to study event‐trigger mechanism (ETM) to lighten the load of network bandwidth while maintaining the control performance 14,15 . Under the ETM, the designed controller is updated and the sampled data is sent over the network only when the well‐designed condition related to system dynamic is satisfied.…”

Predictive control compensation for networked control system with time-delay

“…Some random control theories are used to compensate for the time-delay. These compensation strategies include robust control, 14,15 neural network, [16][17][18] fuzzy control, 19,20 Markov jump system method, 21,22 state feedback control, 23,24 switching control method, 25 stochastic optimal control, 26,27 and other time-delay compensation methods. These compensation methods have achieved some progress.…”

Event‐triggered integral sliding mode control for fractional order T‐S fuzzy systems via a fuzzy error function

“…Sliding mode control (SMC), as an effective robust control approach, has been widely used in practical engineering systems. [12][13][14][15][16][17][18][19][20] With the proposed of event-triggered control (ETC), [21][22][23][24][25] the aperiodic sampling scheme provides a novel control implementation strategy to investigate the SMC. By using the event-triggered sliding mode control (ETSMC) method, the system trajectory is confined to maintain within a predesigned band.…”