Memory DOF Control for Discrete-time LPV Systems: Two Iterative LMI-based Approaches

Data-Driven Control Methods for Linear Discrete-Time Singularly Perturbed Systems

This paper presents a synergistic control strategy for discrete-time singularly perturbed systems, where data-driven learning is seamlessly combined with LMI-based synthesis, thereby offering an effective new approach for controlling discrete-time singularly perturbed systems in complex engineering environments.

Strong Tracking Iterative Learning Control for Linear Parameter-Varying Systems*

This paper presents an advanced predictive Iterative Learning Control (ILC) methodology tailored for discretetime Linear Parameter-Varying (LPV) systems subject to strict input and state constraints, as well as bounded process and measurement disturbances. The proposed framework operates through a dual-phase architectu...

On the Implementation of Two-Parameter Stabilizing Controllers Using Stable-Block Input-Output Feedback Structures

This paper a universal implementation method for continuous- and discrete-time two-parameter (2-DOF) stabilizing controllers using exclusively stable constituent blocks. The framework is valid for all regular SISO and MIMO plants, particularly those failing to satisfy the parity interlacing property where unstable cont...

Koopman-based model predictive control for nonlinear systems with bounded model uncertainty

Stochastic Model Predictive Control Using Indirect Feedback With a Modified Terminal Constraint

The main contribution is to explore the time‐varying definition of the constraints in the indirect feedback SMPC (IF‐SMPC) to improve the feasible domain and explore the time‐varying definition of the constraints in the indirect feedback SMPC to improve the feasible domain.

Time-Varying LQR Control with Matrix Smoothing for Continuous-Time Switched Systems Under Time-Dependent Switching

This paper addresses the analysis and control of continuous-time linear switched systems within the linear time-varying (LTV) framework. A correspondence between switched and LTV system representations is first established, enabling the use of LTV tools for stability and controllability analysis under arbitrary switchi...