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Linear systems

TLDR
This text provides an introduction to systems theory with an emphasis on control theory, and its strong foundation in analysis and algebra enables the reader to easily move on to advanced topics in the systems area.
Abstract
From the Publisher: Designed for the graduate-level course,Linear Systems is thorough in both its depth and breadth of coverage. This text provides an introduction to systems theory with an emphasis on control theory. Its strong foundation in analysis and algebra enables the reader to easily move on to advanced topics in the systems area.

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Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks

TL;DR: A new simple characterization of the maximum number of attacks that can be detected and corrected as a function of the pair (A,C) of the system is given and it is shown that it is impossible to accurately reconstruct the state of a system if more than half the sensors are attacked.
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Control and Communication Challenges in Networked Real-Time Systems

TL;DR: A survey of the emerging field of networked control systems is provided in this article, where the authors present a snapshot assessment of the current state of research in the field, suggest useful future research directions, and provide a broad perspective on recent fundamental results.
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Introduction to Mathematical Systems Theory: A Behavioral Approach

TL;DR: In this article, the authors use the behavioral approach towards mathematical modeling of linear time-invariant systems, where a system is viewed as a dynamical relation between manifest and latent variables, and the trajectories of such systems can be partitioned in free inputs and bound outputs.
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Cooperative distributed model predictive control

TL;DR: This paper establishes exponential stability of suboptimal model predictive control and shows that the proposed cooperative control strategy is in this class, and establishes that under perturbation from a stable state estimator, the origin remains exponentially stable.
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Admittance space stability analysis of power electronic systems

TL;DR: A new stability criterion, which reduces artificial conservativeness and is also insensitive to component grouping is described and a means of readily establishing design specifications from an arbitrary stability criterion which specifically includes a provision to incorporate uncertainty, parameter variation, and nonlinearities is set forth.