In this paper, we consider identifying Auto Regressive with eXternal input (ARX) models for both Linear Time-Invariant (LTI) and Linear Time-Variant (LTV) systems. We aim at doing the identification from the smallest possible number of observations. This is inspired by the field of Compressive Sensing (CS), and for this reason, we call this problem Compressive System Identification (CSI). In th...

In this paper, linear matrix inequality (LMI) approach for synchronization of chaotic fuzzy cellular neural networks (FCNNs) with discrete and unbounded distributed delays based on sampled-data controlis investigated. Lyapunov-Krasovskii functional combining with the input delay approach as well as the free-weighting matrix approach are employed to derive several sufficient criteria in terms of...

The purpose of this work is to study machine-learning-based model predictive control nonlinear systems with time-delays. proposed approach involves initially building a machine learning (i.e., Long Short Term Memory (LSTM)) capture the process dynamics in absence time delays. Then, an LSTM-based controller (MPC) designed stabilize system without Closed-loop stability results are then presented,...

In this paper, a delay-tolerable and anti-windup control synthesis technique is proposed. Longitudinal speed tracking performed by an integrated electric drive (IED) system under the multi-domain constraints of network bandwidth actuator saturation investigated. Controller area (CAN) connected to Internet provide interface for cyber attacks. addition, physical characteristics motor sacrifice ve...

This paper develops an improved analysis of ATM switching architectures adopting a replicated banyan interconnection network provided with dedicated input and output queues, one per switch inlet and outlet. Two different plane selection policies are studied, random choice and alternate sharing, and two different operation modes are considered for the interaction between input and output queues,...