Observer-based control for networked nonlinear systems with random packet losses

Li, Jian Guo; Yuan, Jinliang; Lu, Jun

doi:10.1016/j.isatra.2009.08.001

Cited by 84 publications

(47 citation statements)

References 47 publications

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“…In practice, a variety of factors can produce the effects on communication resources constraints and complex dynamical communication environment in cyber-physical system, such as packet loss of the agents or occasionally missing communication [25,[29][30][31] . To analyze the effects of actuator by those potential threats, actuator behaviors are divided into three types: normal, missing communication, and loss of effectiveness.…”

Section: Remarkmentioning

confidence: 99%

Robust adaptive consensus tracking for higher‐order multi‐agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol

Wang

Zhang

et al. 2015

Adaptive Control & Signal

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This paper considers the robust adaptive consensus tracking for higher-order multi-agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol. The main contribution of this work is solving the robust consensus tracking problem without the assumption that the topology among followers is strongly connected and fixed. The focus is the problem of actuator with occasional failure inputs and communication resources constraints. A novel distributed intermittent communication framework is proposed via adaptive approach. In this framework, the underlying communication topologies switch among several directed graphs with a limited directed spanning tree rooted at a leader agent. Furthermore, by introducing a strategy of actuator fault compensation inputs, a combination of robust consensus tracking protocol is designed by the different adaptive feedback controllers. It is proved that the robust adaptive consensus tracking can be achieved by using local states information of neighboring agents if the communication retention rate condition is satisfied. Two examples are presented to demonstrate the effectiveness of the proposed approach.

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Section: Remarkmentioning

confidence: 99%

Robust adaptive consensus tracking for higher‐order multi‐agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol

Wang

Zhang

et al. 2015

Adaptive Control & Signal

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“…It is quite common in practice that the time delays occur in a random way, rather than a deterministic way. Based on a similar Bernoulli stochastic model, study NCSs with both sensor-tocontroller and controller-to-actuator stochastic delays and design the controller gain [5][6]. One step stochastic delays or one stochastic packet dropout is considered in these papers.…”

Section: Introductionmentioning

confidence: 99%

Exponential Stability Control for Networked Systems With Interval Distribution Time Delays

Hu¹,

Yuan²

2018

Acta inform. Malays.

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To study the problem of exponential stability control for a class of networked control systems with interval distribution time delays, a new approach is given to model the networked control systems with the stochastic time delays which is assumed to be satisfying a interval Bernoulli distribution. Based on linear matrix inequality approach, the mean-square exponential stability controller design method is presented, and the controller gain matrix is obtain by solving a linear matrix inequality. Moreover, a Lyapunov functional is used, and some stack matrices, which bring much flexibility in solving LMI, are introduced during the proof. A numerical example is given to demonstrate the validity of the results.

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“…In Wang et al (2007), Li et al (2010), Liu et al (2011) an observer based control approach for NCS is proposed where the received measurements as well as the applied control actions are driven to zero when communication fails. Those approaches make use of the most probable measured output and input in the state estimation procedure assuming independent Bernouilli distributions on the input and output packet dropout phenomena and, with this technique, the enlargement of the state vector is avoided.…”

Section: Introductionmentioning

confidence: 99%

Inferential networked control with accessibility constraints in both the sensor and actuator channels

Peñarrocha

Dolz

Sanchis

2013

International Journal of Systems Science

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The predictor and controller design for an inferential control scheme over a network is addressed. A linear plant with disturbances and measurement noise is assumed to be controlled by a controller that communicates with the sensors and the actuators through a constrained network. An algorithm is proposed such that the scarce available outputs are used to make a prediction of the system evolution with an observer that takes into account the amount of lost data between successful measurements transmissions. The state prediction is then used to calculate the control actions sent to the actuator. The possibility of control action drop due to network constraints is taken into account. This networked control scheme is analyzed and both the predictor and controller designs are addressed taking into account the disturbances, the measurement noise, the scarce availability of output samples and the scarce capability of control actions update. The time-varying sampling periods that result for the process inputs and outputs due to network constraints have been determined as a function of the probability of successful transmission on a specified time with a Bernoulli distribution. For both designs H∞ performance has been established and LMI design techniques have been used to achieve a numerical solution.

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Observer-based control for networked nonlinear systems with random packet losses

Cited by 84 publications

References 47 publications

Robust adaptive consensus tracking for higher‐order multi‐agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol

Robust adaptive consensus tracking for higher‐order multi‐agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol

Exponential Stability Control for Networked Systems With Interval Distribution Time Delays

Inferential networked control with accessibility constraints in both the sensor and actuator channels

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