This paper presents an investigation of the event-triggered control problem for active suspension system featuring a networked communication architecture and Dynamic Output Feedback Controller (DOFCs) while taking into account possibility failure in actuators. The event-triggering condition determines when it is necessary to transmit observed variables plant controller, order not saturate netwo...

The state-of-the-art robust H∞ linear parameter-varying controller is designed for wide speed operating range non-linear mathematical model of permanent magnet synchronous machines (PMSM) in d-q reference frame fully electric vehicle. This study propose polytopic approach using rotor as scheduling variable to reformulate PMSM into parameter varying (LPV) form. weights were optimized sensitivity...

This article is concerned with the local stabilization problem for discrete-time systems both distributed state delay and fast-varying input under actuator saturations. By introducing some terms concerning distributedly delayed current state, a novel polytopic model first proposed to characterize saturation nonlinearity. Then, by incorporating piecewise Lyapunov functional summation inequalitie...

This paper investigates the problem of stability analysis for a polytopic system with timevarying delay via parameter-dependent Lyapunov functions. By a relaxation approach with slack matrices and a descriptor model transformation, a new robust delay-dependent stability criterion is expressed as a set of linear matrix inequalities (LMIs) with less computational burden. This criterion combined w...

The ability to detect nanosecond backbone dynamics with site-directed spin labeling (SDSL) in soluble proteins has been well established. However, for membrane proteins, the nitroxide appears to have more interactions with the protein surface, potentially hindering the sensitivity to backbone motions. To determine whether membrane protein backbone dynamics could be mapped with SDSL, a nitroxide...

The paper deals with the problem of a robust fault diagnosis for Linear Parameter-Varying (LPV) systems with Recurrent NeuralNetwork (RNN). The preliminary part of the paper describes the derivation of a discrete-time polytopic LPV model with RNN. Subsequently, a robust fault detection, isolation and identification scheme is developed, which is based on the observer and H∞ framework for a class...

The paper deals with the problem of a robust actuator fault diagnosis for Linear Parameter-Varying (LPV) systems with Recurrent Neural-Network (RNN). The preliminary part of the paper describes the derivation of a discrete-time polytopic LPV model with RNN. Subsequently, a robust fault detection, isolation and identification scheme is developed, which is based on the observer and H∞ framework f...

In this paper a robust MPC scheme using a time-varying terminal constraint set for input-constrained systems with a polytopic uncertainty description is proposed. The new scheme is a refinement to the algorithm published in “Efficient robust constrained model predictive control with a time-varying terminal constraint set” [1]. The original result contains an error in the stability proof which i...

This article presents a robust actuator fault estimation strategy design for three-degree of freedom (3-DOF) helicopter prototype which can be adapted to aggressive maneuvers. First, considering large pitch angle condition during flight, nonlinear coupling characteristic the system is exploited. As measured in real time, polytopic linear parameter varying (LPV) model developed system. Furthermo...

A computation-oriented representation of uncertain kinetic systems is introduced and analysed in this paper. It is assumed that the monomial coefficients of the ODEs belong to a polytopic set, which defines a set of dynamical systems for an uncertain model. An optimization-based computation model is proposed for the structural analysis of uncertain models. It is shown that the so-called dense r...