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The problem of joint sequential change detection and isolation in a multichannel system is considered. It is assumed that a disruption occurs at some unknown time, and changes the distributions of the observations in an unknown subset of channels. The problem is to quickly detect the change, and at the same time to reliably isolate the affected channels. A novel scheme is proposed for this task, which...
The problem of variable structure guaranteed cost control for discrete uncertain networked systems with time delay has been considered in this paper. Based on the Lyapunov stability theorem, by introducing a discrete compensator, a novel sliding mode manifold that can compensate time delay has been designed. Then, by using linear matrix inequalities approach, a guaranteed cost controller is designed...
In this paper, a model-based event-triggered control law is adopted to reduce communication traffic in networked control systems. In this model-based control system, a nominal model of system plant is used to estimate the system state between two sampling instants. By simultaneously considering bounded system noise and bounded network delay, a mixed event-triggering mechanism is proposed to stabilize...
We develop a predictor approach to networked control with sampled-data and unknown time-varying transmission delays. First, we consider a state-feedback predictor. We show that an arbitrary small controller-to-actuators delay uncertainty may lead to a non-small residual error in networked control systems and reveal how to analyze such systems. Then we consider output-feedback control and design a...
In this paper, a robust filter is designed using guaranteed cost method to deal with the problem on networked control system (NCS). NCSs are modeled by neutral-type systems with differentiable time-delay uncertainties. The control and gain filter are derived from LMI feasible solution. A numerical example is provided for illustration of the proposed condition.
A closed-loop artificial pancreas (AP) to provide automated treatment for people with type 1 diabetes mellitus has the potential to improve patient health outcomes; however, the system's success hinges on its ability to quickly detect and react to changing blood glucose concentrations (BG). In this study, the impact of measurement lag on AP robust stability, performance, and time-domain disturbance...
The optimal control of a “blind” UAV searching for a target moving on a road network and heading at a known speed toward a set of goal vertices is considered. To aid the UAV, some roads in the network have been instrumented with Unattended Ground Sensors (UGSs) that detect the target's passage. When the UAV arrives at an instrumented node, the UGS therein informs the UAV if and when the target visited...
Within the design of Cyber Physical Systems, model-based approaches are powerful means to describe and test the behavior of the system. Still, a good methodology is needed to go from the idealized model environment to an implementable system architecture that is capable of dealing with uncertainties in both the physical and the cyber subsystem. This paper presents a concept that explicitly utilizes...
In this paper, we study the quality-of-service (QoS) support for realtime traffic in cognitive radio (CR) networks when spectrum availability and quality is not known a priori. A resource-constrained CR relies on sequential channel sensing and probing to resolve spectrum uncertainty and search for good transmission opportunities in real time. We are interested in maximizing the effective throughput...
The tandem rolling of hot metal strip is a highly complex nonlinear large-scale industrial process with significant time delays plus major uncertainties and disturbances. The control challenge also is heightened by a hostile environment that precludes the location of certain sensors to measure variables that are important for control. Based on the results of our previous work using a modified state-dependent...
We consider the problem of robustly detecting the presence/absence of signals in low signal to noise ratio (SNR) environments. Our previous results have shown the existence of thresholds called SNR walls, below which robust detection becomes impossible due to uncertainties in the environment. These thresholds were shown to exist for many signals used in practice. This paper introduces the idea of...
For the uncertain NCS with stochastic network delay less than one period, a sort of RBFNN-DSMC algorithm combining discrete sliding mode control and RBF neural network is presented. In view of the coupling influence of time-variable delay and plant model error as well as exterior disturbance, RBFNN is used to approach the equivalent disturbance online and output assistant control quantity so as to...
In this paper, the problem of delay-dependent stability for a class of networked control systems (NCSs) with uncertainties and time-varying delays is investigated. A continuous time model for a class of multi-input and multi-output (MIMO) NCSs with many independent sensors and actuators is proposed. Based on descriptor system approach combined with linear matrix inequality (LMI) techniques, a novel...
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