We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

Random graphs

“Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告

This paper studies a number of quantized feedback design problems for linear systems. We consider the case where quantizers are static (memoryless). The common aim of these design problems is to stabilize the given system or to achieve certain performance with the coarsest quantization density. Our main discovery is that the classical sector bound approach is nonconservative for studying these design problems. Consequently, we are able to convert many quantized feedback design problems to well-known robust control problems with sector bound uncertainties. In particular, we derive the coarsest quantization densities for stabilization for multiple-input-multiple-output systems in both state feedback and output feedback cases; and we also derive conditions for quantized feedback control for quadratic cost and H/sub /spl infin// performances.

The sector bound approach to quantized feedback control | NOVA. The University of Newcastle's Digital Repository

Event-triggered consensus of multiagent systems (MASs) has attracted tremendous attention from both theoretical and practical perspectives due to the fact that it enables all agents eventually to reach an agreement upon a common quantity of interest while significantly alleviating utilization of communication and computation resources. This paper aims to provide an overview of recent advances in event-triggered consensus of MASs. First, a basic framework of multiagent event-triggered operational mechanisms is established. Second, representative results and methodologies reported in the literature are reviewed and some in-depth analysis is made on several event-triggered schemes, including event-based sampling schemes, model-based event-triggered schemes, sampled-data-based event-triggered schemes, and self-triggered sampling schemes. Third, two examples are outlined to show applicability of event-triggered consensus in power sharing of microgrids and formation control of multirobot systems, respectively. Finally, some challenging issues on event-triggered consensus are proposed for future research.

/pdf/an-overview-of-recent-advances-in-event-triggered-consensus-3rmvpx3qkr.pdf

An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems

A survey on security control and attack detection for industrial cyber-physical systems

This paper is concerned with the resilient containment control for discrete-time multi-agent systems subject to packet dropouts. Based on relative measurement outputs, the purpose of this paper is to design an output-feedback controller such that all followers converge into the convex hull spanned by leaders in mean-square sense. First, with the help of the property of the Laplacian matrix, the containment control problem is transformed to an easy to analyze form. Then, sufficient conditions with the form of matrix inequalities are derived to guarantee the desired containment in mean-square sense. Further, by introducing a free matrix combined with an orthogonal basis of the null space of matrix, the controller gain can be obtained by solving a set of linear matrix inequalities. Finally, an example is exploited to illustrate the effectiveness of the established results.

Resilient Containment Control for Multi-agent Systems with Packet Dropouts

This article addresses the proportional-integral (PI)-based security control issue of large-scale systems subject to randomly occurring joint attacks. Specifically, the considered cyber-attacks could happen in both sensor-to-observer and controller-to-actuator, and only partial data of sensors and controllers are randomly tampered with by malicious attacks due to energy limits. For the addressed problem, an observer-based PI controller is constructed by resorting to the compensation of randomly occurring joint attacks, which are modeled by two diagonal matrices combined with a set of stochastic variables. A sufficient condition only dependent on the local system dynamics as well as the local interconnected matrices is derived in the framework of the input-to-state stability (ISS) theory, and the desired gains of both the controller and the observer are obtained by the cone complementarity linearization (CCL) algorithm. Benefiting from the element matrix inequality, the developed design scheme satisfies the scalability requirement. In the end, the simulation test based on IEEE 39-bus power systems is seriously used to demonstrate the validity of the proposed control scheme.

PI-Based Security Control Against Joint Sensor and Controller Attacks and Applications in Load Frequency Control

Partial-neurons-based state estimation for artificial neural networks under constrained bit rate: The finite-time case

In this paper, the Kalman-type recursive filtering problem is investigated for a class of discrete-time stochastic non-linear systems subject to time-delays and randomly occurring deception attacks. The deception attack under consideration is assumed to be bounded and occur in a random way, which is characterized by using the Bernoulli distribution white sequences. The purpose of the problem addressed in this paper is to design the Kalman-type recursive filter such that for all admissible randomly occurring cyber attacks, time-delays, Gaussian noises, deterministic nonlinearities and stochastic nonlinearities, an upper bound of the filtering error covariance matrix can be obtained in terms of two Riccati-like difference equations. Subsequently, by minimizing such an upper bound, the optimized filter gain can be derived. Finally, a simulation example is proposed to illustrate the effectiveness of the proposed Kalman-type recursive filter design scheme.

Kalman-type recursive filtering for stochastic nonlinear time-delay systems with randomly occurring deception attacks

Summary The article develops a novel stubborn set‐membership filtering with the dynamic event‐triggered scheme for discrete‐time nonlinear systems with the state‐delays, unknown‐but‐bounded noises ...

Derui Ding

Papers

Resilient Containment Control for Multi-agent Systems with Packet Dropouts

PI-Based Security Control Against Joint Sensor and Controller Attacks and Applications in Load Frequency Control

Partial-neurons-based state estimation for artificial neural networks under constrained bit rate: The finite-time case

Kalman-type recursive filtering for stochastic nonlinear time-delay systems with randomly occurring deception attacks

Distributed stubborn‐set‐membership filtering with a dynamic event‐based scheme: The Takagi‐Sugeno fuzzy framework