Motivated by the fact that many nonlinear plants can be represented through Linear
Parameter Varying (LPV) embedding, and being this framework very popular for control …

With the large-scale wind power integration into the power system, the inertia and dam**
characteristics of the system have been weakened, which is not conducive to fulfill the grid …

This paper presents a Model Predictive Control (MPC) based autopilot for a fixed-wing
Unmanned Aircraft Vehicle (UAV) for meteorological data sampling tasks, named …

Due to their complex nonlinear dynamics and batch-to-batch variability, batch processes
pose a challenge for process control. Due to the absence of accurate models and resulting …

This paper presents a risk-informed data-driven safe control design approach for a class of
stochastic uncertain nonlinear discrete-time systems. The nonlinear system is modeled …

For constrained linear parameter varying (LPV) systems, this survey comprehensively
reviews the literatures on output feedback robust model predictive control (OFRMPC) over …

Temperature control in solar collectors is a nonlinear problem: the dynamics of temperature
rise vary according to the fluid flowing through the collector and to the temperature gradient …

This study proposes an algorithm to enhance the comfort of passengers in a vehicle with
semi‐active suspensions. The vertical dynamics of the car are represented through a quasi …

This article explores the asymptotic stability and output-feedback control issues of discrete-
time piecewise-affine (PWA) systems under multi-input–multi-output (MIMO) quantization …

For aerospace vehicles with uncertainty, strong nonlinearity, and high-performance
requirements, the model predictive control (MPC) method has attracted many researchers' …