Asynchronous sliding mode control of singularly perturbed semi-Markovian jump systems: Application to an operational amplifier circuit

Song, Jun; Niu, Yugang; Lam, Hak‐Keung; Zou, Yuanyuan

doi:10.1016/j.automatica.2020.109026

Cited by 89 publications

(38 citation statements)

References 21 publications

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“…It should be pointed out that in most of the above research works, there exists a common ideal assumption for ensuring the practicability of the proposed mode-dependent filtering or controling strategies, that is, the system mode signal should be available for the estimator or controller. Unfortunately, as a similar statement in Hua et al, 16 Han et al, 17 and Song et al, 18 in industrial applications, much state-dependent information cannot be accessed in time, such kind of ideal assumption is rather difficultly satisfied in practice. To shorten this gap, a mode-independent controller or filter design has been widely adopted for Markov jump systems.…”

Section: Introductionmentioning

confidence: 90%

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Event-triggered distributed filtering for Markov jump systems over sensor networks

Zhu

Yang

2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article deals with the distributed filtering problem for a class of discrete-time Markov jump systems over sensor networks. First, in the distributed filtering network, each local filter simultaneously fuses the estimation and measurement from itself and neighboring nodes to achieve the system state estimation. And each sensor intelligent node is embedded with an event-triggered sampling mechanism, which can reduce the computation load or saving limited network bandwidth. Then, we use Bernoulli stochastic variables to describe whether the filtering network can successfully receive the system jump modes. Next, based on the Lyapunov stability theory, we design a distributed filter dependent on partial system modes, which has the exponential stability in mean square and [Formula: see text] performance. Finally, all desired estimator parameters can be obtained by solving a set of linear matrix inequalities. Moreover, two numerical examples are given to illustrate the effectiveness of the distributed [Formula: see text] filtering design approach.

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Section: Introductionmentioning

confidence: 90%

“…(see the work of Yang et al 35 ). The augmented filtering error dynamics (equation (18)) is said to be exponentially mean-square stable with the H ' performance if the following hold simultaneously 1. For allx(0) and w(k) = 0, there are scalars l ø 1 and 0 \ t \ 1 such that…”

Section: Problem Descriptionmentioning

confidence: 99%

Event-triggered distributed filtering for Markov jump systems over sensor networks

Zhu

Yang

2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…The voltage or current signals outputted through conversion circuits at the initial stage response weakly, therefore, the signals need to be amplified for promoting the subsequent circuits afterward. [36] A variety of functional amplifiers has been integrated in the amplification circuits, because the strength and impedance of the output signals are determined by specific operating environments that are provided with different requirements for the accuracy and stability of the entire system of strain sensors. [37] From Figure 2c, gain adjustment can be altered through change R v .…”

Section: Transmission Mechanisms Of Signalsmentioning

confidence: 99%

3D Printed Flexible Strain Sensors: From Printing to Devices and Signals

et al. 2021

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The revolutionary and pioneering advancements of flexible electronics provide the boundless potential to become one of the leading trends in the exploitation of wearable devices and electronic skin. Working as substantial intermediates for the collection of external mechanical signals, flexible strain sensors that get intensive attention are regarded as indispensable components in flexible integrated electronic systems. Compared with conventional preparation methods including complicated lithography and transfer printing, 3D printing technology is utilized to manufacture various flexible strain sensors owing to the low processing cost, superior fabrication accuracy, and satisfactory production efficiency. Herein, up-to-date flexible strain sensors fabricated via 3D printing are highlighted, focusing on different printing methods based on photocuring and materials extrusion, including Digital Light Processing (DLP), fused deposition modeling (FDM), and direct ink writing (DIW). Sensing mechanisms of 3D printed strain sensors are also discussed. Furthermore, the existing bottlenecks and future prospects are provided for further progressing research.

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“…As a matter of fact, many practical systems, for example, power systems and elector‐mechanical systems, usually operate on different time scales due to the presence of small “parasitic” parameters 5,6 . Consequently, the interaction of slow and fast dynamics occurs and thereby leading to the high dimensionality and numerical stiffness, 7 which cannot be solved by using normal switched methods, in the process of system analysis and controller design. In order to deal with such difficulties, singularly perturbed theory is introduced, and some important advances have been made using the descriptor systems approach, such as References 8,9.…”

Section: Introductionmentioning

confidence: 99%

Disturbance‐observer based antiwindup control for singularly perturbed switched systems

Zhou

Ying

et al. 2021

Intl J Robust & Nonlinear

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This article investigates the antiwindup control problem for a class of saturated singularly perturbed switched systems (SPSSs) with external disturbances. A novel antiwindup control architecture is first devised for the SPSSs by using the disturbance observer technique, which contains a state feedback controller, an antiwindup compensator and a disturbance observer. By constructing a singular perturbation parameter (SPP) dependent Lyapunov function, a set invariance condition is established, under which the antiwindup controller gain matrices can be derived, for any SPP less than or equal to a predefined upper bound. An optimization algorithm is formulated to enlarge the invariant set to reduce conservativeness. Then, an optimization problem is proposed in order to improve the disturbance refection ability. Moreover, the explicit parameterization of the disturbance rejection capacity is given by the solutions to a set of optimization algorithms with a guaranteed basin of attraction. Finally, a numerical example is provided to verify the effectiveness of the proposed antiwindup control strategy.

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Asynchronous sliding mode control of singularly perturbed semi-Markovian jump systems: Application to an operational amplifier circuit

Cited by 89 publications

References 21 publications

Event-triggered distributed filtering for Markov jump systems over sensor networks

Event-triggered distributed filtering for Markov jump systems over sensor networks

3D Printed Flexible Strain Sensors: From Printing to Devices and Signals

Disturbance‐observer based antiwindup control for singularly perturbed switched systems

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