In this paper, a stochastic distributed model predictive control (DMPC) architecture is
investigated for cyber–physical systems subject to probabilistic input saturations. We present …

This paper proposes a unified probabilistic control framework for a class of stochastic
systems with both control input and state time delays. Both of the stochastic nature and time …

In this paper, a type-2 fuzzy neural network predictive (T2FNNP) controller has been
designed in the feedback error learning (FEL) framework for a class of input delay nonlinear …

H∞ control for networked control systems with exogenous disturbances and norm-bounded
parameter uncertainties has been extensively investigated. However, how to better use the …

In this paper, a model predictive control algorithm is presented for linear parameter varying
systems with both state delays and randomly occurring input saturation. The input saturation …

This paper gives an outline of recent developments in the area of time-delay systems.
Recent advancements and challenges in the analysis of the stability of time-delay systems …

In this paper, the backstepping control problem is addressed by backstepping technique for
a class of high-order stochastic nonaffine nonlinear systems. Different from existing papers …

This paper presents a fixed-order H∞ controller design based on linear matrix inequalities
for multi-input–multi-output systems. The main difficulty in the development of a fixed-order …

In this study, design of a delay‐dependent type moving horizon state‐feedback control
(MHHC) is considered for a class of linear discrete‐time system subject to time‐varying state …

A distributed fault detection scheme is presented in this work to deal with the senor failures
in a nonlinear process system. Firstly, a residual generator is derived, in which the fault …