A state‐of‐the‐art review on various identification schemes proposed for the Hammerstein,
Wiener, and Volterra systems is presented with respect to the special problems arising in the …

A non-fragile robust model predictive control (RMPC) is designed in the uncertain systems
under bounded control signals. To this aim, a class of the nonlinear systems with additive …

This article proposes a one‐step ahead robust model predictive control (MPC) for discrete‐
time Lipschitz nonlinear parameter varying (NLPV) systems subject to disturbances. Within …

Controlling flexible joint robots has drawn the attention of many industry professionals
during the past two decades. It is a difficult task because various structural features that …

This paper is concerned with the robust H∞ model predictive control problem for a class of
non-linear systems subject to state and input constraints and with norm bounded …

Simulated moving bed (SMB) chromatographic separation is a new type of separation
technology based on traditional fixed bed adsorption operation and true moving bed (TMB) …

The natural instability of an inverted pendulum and its dynamics richness, in terms of
nonlinearity, provide a nice apparatus to reproduce behaviors of analogous systems. In this …

Simulated moving bed (SMB) chromatographic separation is a new type of separation
technology based on traditional fixed bed adsorption operation and true moving bed (TMB) …

This paper presents a new robust predictive controller for a special class of continuous-time
non-linear systems with uncertainty. These systems have bounded disturbances with …

Steering a nonlinear system from an initial state to a desired one is a common task in
control. While a nominal trajectory can be obtained rather systematically using a model, for …