Optimal control input for discrete‐time networked control systems with data dropout

These days, networked control systems (NCSs) in which data is transmitted via communication have been actively studied for many potential applications. In an NCS, dropout degrades performance depending on network conditions. For NCS with dropout, the authors propose a model-predictive-control-based input optimisation, representing as both Bernoulli model and finite-order Markov chain. Using proposed model, derive optimal that provides estimated error between expected state of plant given reference. The problem formulated its equivalent quadratic programming, executed at each online sampling. also demonstrate simulations experiments to show effectiveness method.