Intelligent pedal control is a new development trend of vehicle intelligence, an important
application of which is the single pedal control being the driving and braking inputs for …

In this paper, based on model predictive control algorithm, a torque demand control
approach is proposed to optimize driving energy consumption of battery electric vehicle …

This article presents a data-driven control strategy for nonlinear dynamical systems,
enabling the construction of a Koopman-based linear system associated with nonlinear …

The minimal robust positively invariant (mRPI) set plays an important role in robust model
predictive control (RMPC). However, the exact computation of the mRPI set is generally …

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 …

Tallow is a resource for glycerine and oleochemicals produced by subsequent hydrolysis,
saponification, or transesterification. Since steam hydrolysis, an industrial practice, uses …

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 …

This work addresses the problem of robust H∞ model predictive control for constrained
piecewise non-linear systems corrupted by norm-bounded disturbances for the first time. In …

In this paper, a model reference control strategy is proposed in order to perform trajectory
tracking in Takagi–Sugeno–Lipschitz (TSL) systems. Since the state vector is assumed not …

In this paper, a robust model predictive control (MPC) scheme is developed for non-linear
systems. We propose a new modeling approach, entitled piecewise non-linear, for plants …