This study focuses on event-triggered control of nonlinear discrete-time systems with time delays. Based a Lyapunov-Krasovskii type input-to-state stability result, we propose novel algorithm that works as follows. The inputs are updated only when certain measurement error surpasses dynamical threshold depending both the system states and evolution time. Sufficient conditions established to ens...

this paper is concerned with the problem of designing discrete-time control systems with closed-loop eigenvalues in a prescribed region of stability. first, we obtain a state feedback matrix which assigns all the eigenvalues to zero, and then by elementary similarity operations we find a state feedback which assigns the eigenvalues inside a circle with center   and radius. this new algorithm ca...

This paper proposes a new method for direct control of active power and stator flux of permanent magnet synchronous generator (PMSG) used in the wind power generation system. Active power and stator flux are controlled by the proposed discrete time algorithm. Despite the commonly used vector control methods, there is no need for inner current control loops. To decrease the errors between refere...

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 pro...