Model predictive control (MPC) has demonstrated exceptional success for the high-
performance control of complex systems. The conceptual simplicity of MPC as well as its …

This paper presents an overview on the recent advances in the research of security of cyber–
physical systems. We place particular emphases on consensus problems for multi-agent …

Abstract Domain generalization (DG) seeks predictors which perform well on unseen test
distributions by leveraging data drawn from multiple related training distributions or …

In this paper, we first study a generalized canonical correlation analysis (CCA)-based fault
detection (FD) method aiming at maximizing the fault detectability under an acceptable false …

The emergence of synchronization in a network of coupled oscillators is a fascinating topic
in various scientific disciplines. A widely adopted model of a coupled oscillator network is …

Unlike many complex networks studied in the literature, social networks rarely exhibit
unanimous behavior, or consensus. This requires a development of mathematical models …

This accessible new edition explores the major topics in Monte Carlo simulation that have
arisen over the past 30 years and presents a sound foundation for problem solving …

In this paper, a new finite-horizon H∞ control problem is considered for a class of time-
varying systems with stochastic nonlinearities, measurements degradation and chance …

This book gives a comprehensive overview of the recently developed ℒ1 adaptive control
theory with detailed proofs of the fundamental results. The key feature of ℒ1 adaptive control …

Both linear and nonlinear relationships may exist among process variables, and monitoring
a process with such complex relationships among variables is imperative. However …