Performance Analysis of Switched Control Systems Under Common‐source Digital Upsets Modeled by MDHMM

Wang, Rui; Li, Yanxiao; Sun, Hao; Zhang, Youmin; Sun, Yazhou

doi:10.1155/2018/4329053

Cited by 5 publications

(6 citation statements)

References 21 publications

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“…One can use an adaptive update calculation or system identification methods to obtain the parameters of the model. Some estimation algorithms have been skillfully applied to unknown dynamic models, such as a gradient estimation algorithm 46 and closed‐loop estimations 47,48 …”

Section: Problem Formulationmentioning

confidence: 99%

Stabilization control of a flexible marine riser with failed and bounded actuator and time‐varying boundary constraints

Han

Liu

2021

Intl J Robust & Nonlinear

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In this article, we investigate the stabilization control problem of a flexible marine riser system with a failed and bounded control action and time‐varying boundary constraints. The considered system is modeled as a distributed parameter system dominated by a partial differential equation. The involved problems are extended to some more general conditions. The saturation and failures of the actuator make the input and output of the actuator a nonlinear relationship, which leads to the normally designed control input invalid. By applying the Nussbaum gain technique, we report a synthetical control method to tackle the input nonlinearity. A piecewise barrier Lyapunov function (BLF) is introduced to reduce the boundary displacement in an asymmetric open set. Compared with the traditional BLFs, the initial boundary displacement is not forced to retain within the given region by integrating a shifting function into the BLF design. In addition, the adaptive method is combined with the hyperbolic tangent function to provide a smooth control solution to the unknown parameters from nonlinear input and external perturbation. Relying on a Lyapunov‐based analysis and a numerical simulation, it is proven that the actuated riser system is uniformly bounded and the boundary displacement always keeps in the limited set even subject to actuator failures and limitations.

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Section: Problem Formulationmentioning

confidence: 99%

Stabilization control of a flexible marine riser with failed and bounded actuator and time‐varying boundary constraints

Han

Liu

2021

Intl J Robust & Nonlinear

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“…HMM proposed in Baum and Petrie [20] has been widely used in various problems [21][22][23]. It consists of two stochastic processes and , where is a Markov chain and not directly visible (hidden), but the output of another variable whose distribution depends on the hidden process , is visible.…”

Section: The Particular Triplet Markov Model Architecturementioning

confidence: 99%

Modeling Repayment Behavior of Consumer Loan in Portfolio across Business Cycle: A Triplet Markov Model Approach

Chen

Jiang

2020

Complexity

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With a view to develop a more realistic model for credit risk analysis in consumer loan, our paper addresses the problem of how to incorporate business cycles into a repayment behavior model of consumer loan in portfolio. A particular Triplet Markov Model (TMM) is presented and introduced to describe the dynamic repayment behavior of consumers. The particular TMM can simultaneously capture the phases of business cycles, transition of systematic credit risk of a loan portfolio, and Markov repayment behavior of consumers. The corresponding Markov chain Monte Carlo algorithms of the particular TMM are also developed for estimating the model parameters. We show how the transition of consumers’ repayment states and systematic credit risk of a loan portfolio are affected by the phases of business cycles through simulations.

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“…Considering that the air-conditioned room belongs to the office building [14], the following assumptions for the heat load caused by the change in indoor personnel and the operation of computers and other equipment are presented as shown in Figure 10…”

Section: Design Of a Simulation Modelmentioning

confidence: 99%

“…is algorithm provided a reliable method to improve the walking and operating capability of a multilegged walking robot in a special environment. For the real-time tracking and stability of the control system, [13,14] provide a good solution. Considering SMC combined with the fuzzy method, the research results were also rich.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Sliding Mode Control of a VAV Air-Conditioning Terminal Temperature System

Niu

Yang

et al. 2020

Complexity

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A varied air volume (VAV) air-conditioning system comprises diverse input and/or output disturbances, which are commonly nonlinear, with large lag and uncertainty. Based on the traditional control methods, testing the controlling parameters of a VAV air-conditioning system is challenging. Sliding mode control could improve the robustness of the system due to the adaptive capacity of disturbance rejection. Moreover, the fuzzy algorithm could be employed to determine the stability of a sliding control system by adjusting the parameters in the approach rate, reducing the switching frequency, and weakening chatter. Fuzzy sliding mode control is investigated in this paper to improve the performance of a VAV air-conditioning system. Simulation results verify that the sliding mode control is suitable for a VAV air-conditioning system to achieve good adaptability and robustness considering the influence of multiple external variable disturbances. In addition, the chattering of the system is improved after the introduction of fuzzy control.

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Performance Analysis of Switched Control Systems Under Common‐source Digital Upsets Modeled by MDHMM

Cited by 5 publications

References 21 publications

Stabilization control of a flexible marine riser with failed and bounded actuator and time‐varying boundary constraints

Stabilization control of a flexible marine riser with failed and bounded actuator and time‐varying boundary constraints

Modeling Repayment Behavior of Consumer Loan in Portfolio across Business Cycle: A Triplet Markov Model Approach

Fuzzy Sliding Mode Control of a VAV Air-Conditioning Terminal Temperature System

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