Predictive output feedback control of networked control system with Markov DoS attack and time delay

SummaryThis article exhibits an advanced observer‐based single‐loop feedback system for roll‐to‐roll (R2R) machine tension control applications by treating the nonlinearities, parameter uncertainties, and closed‐loop performance inconsistency as the main challenges. The proposed solution provides the three features as follows: (a) a critically damped web velocity feedback system governed by double integral control with active damping terms and a disturbance observer (DOB) through first‐order pole–zero cancellation (PZC); (b) a model‐free second‐order PZC observer enabling feedback for the tension derivative information; (c) a combination of a proportional–integral (PI) controller, nonlinearly structured PI gains, active damping terms, and a DOB to assign critical damping performance to each tension loop through first‐order PZC. The simulation results numerically validate the feasibility of the proposed solution.

Section: Introductionmentioning

confidence: 99%

Observer‐based critically damped feedback systems for nonlinear roll‐to‐roll printing machine applications under decentralized strategy

Kim,

Ahn

2024

“…[12][13][14] At present, many scholars have carried out a lot of modeling, analysis and design work for networked control systems such as network-induced delay, packet loss and packet disorder. [15][16][17][18][19][20][21] Therefore, it is necessary to find more effectively methods to deal with these problems. In order to solve the problem of time delay caused by limited communication bandwidth resources, scholars have proposed two solutions.…”

Section: Introductionmentioning

confidence: 99%

“…However, during the transmission of control signals, due to the limited network bandwidth, there are inevitably some problems in the networked control systems: time delay, packet loss, packet sequence disorder and so forth, which may degrade the performance of the system, or even seriously damage the stability of the system 12–14 . At present, many scholars have carried out a lot of modeling, analysis and design work for networked control systems such as network‐induced delay, packet loss and packet disorder 15–21 . Therefore, it is necessary to find more effectively methods to deal with these problems.…”

Section: Introductionmentioning

confidence: 99%

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Event‐triggered output feedback H∞$$ H\infty $$ control for Markovian jump networked control systems with signal quantization

Zhou,

Wang,

2024

This article studies the output feedback control problem for event‐triggered Markovian jump networked control systems with signal quantization. First, a Lyapunov–Krasovskii function is constructed, which contains time delay, upper bound of time delay and conditional transition probability information of Markovian jump systems. Second, when using the Wirtinger's inequality and the Reciprocally convex inequality to estimate the upper bound of the delay of the weak infinitesimal generator operator of the Lyapunov–Krasovskii function, the event‐triggered scheme and the signal quantization scheme are introduced. Finally, the stability criterion of the closed‐loop system of event‐triggered Markovian jump networked control systems and the design method of the output feedback controller of disturbance attenuation level are given in the form of linear matrix inequalities (LMIs). The effectiveness of the proposed method is verified by two numerical examples.

“…The authors in Reference 18 combined the event triggered mechanism and

{H}_{\infty }

control approaches to solve the formation problems of multi‐area power systems subject to communication delays and bounded disturbances. In addition, several advanced control methodologies are also exploited to solve the robust consensus/formation problems, such as, disturbance observer‐based finite‐time formation control, 19,20 slide mode control, 21 model predictive control, 22,23 PID‐type method, 24 to name a few. However, the aforementioned studies share a common assumption that the nonlinear dynamics satisfy the Lipschitz conditions and the bounds of uncertainties are only limited to linearly depend on the states and bounded disturbances.…”

Section: Introductionmentioning

confidence: 99%

Robust time‐varying formation control for uncertain multi‐agent systems with communication delays and nonlinear couplings

Yang,

Shi,

Zhong

2023

This paper investigates the robust time‐varying formation control problems for a class of higher‐order multi‐agent systems subject to communication delays and heterogeneous uncertainties accounting for not only the parameter perturbations, nonlinearities and external disturbances occurring in the node local dynamics but also the nonlinear couplings in the interconnections of different nodes. For both cases of partially known and unknown time‐varying communication delays, we propose a unified formation control protocol, which incorporates a nominal controller to achieve the desired formation and a compensating signal to restrain the influences of uncertainties. Based on the signal compensation theory and Lyapunov–Krasovskii arguments, sufficient conditions to achieve the desired time‐varying formation are derived in terms of LMI. Thereafter, an explicit expression to describe the formation reference dynamics is yielded. Moreover, an algorithm is concluded to design the presented formation protocol in four steps. It is proven that the formation error can be made as small as desired under the designed controller despite the uncertainties and communication delays. Numerical simulation results are shown to demonstrate the effectiveness of our proposed control schemes.