Sliding Modes in Control and Optimization

Utkin, Vadim I.

doi:10.1007/978-3-642-84379-2

Cited by 5,277 publications

(3,429 citation statements)

References 37 publications

Supporting

Mentioning

3,362

Contrasting

Unclassified

Order By: Relevance

“…It should be noted that designing the sliding surface with only the linear part of the controller is a standard scheme in the existing literature of SMC; see e.g. [28].…”

Section: Optimal Structured Smc Design Problemmentioning

confidence: 99%

ℋ<inf>2</inf>-based optimal sparse sliding mode control for networked control systems

Argha

et al. 2016

2016 IEEE 55th Conference on Decision and Control (CDC)

View full text Add to dashboard Cite

This paper is devoted to the problem of designing a sparsely distributed sliding mode control for networked systems. Indeed, this note employs a distributed sliding mode control framework by exploiting (some of) other subsystems' information to improve the performance of each local controller so that it can widen the applicability region of the given scheme. To do so, different from the traditional schemes in the literature, a novel approach is proposed to design the sliding surface, in which the level of required control effort is taken into account during the sliding surface design based on the H 2 control. We then use this novel scheme to provide an innovative less-complex procedure that explores sparse control networks to satisfy the underlying control objective. Besides, the proposed scheme to design the sliding surface makes it possible to avoid unbounded growth of control effort during the sparsification of the control network structure. Illustrative examples are presented to show the effectiveness of the proposed approach. keywords Networked control systems, H 2 -based optimal sparse sliding mode control, distributed control systems, linear matrix inequality.

show abstract

“…It should be noted that designing the sliding surface with only the linear part of the controller is a standard scheme in the existing literature of SMC; see e.g. [28].…”

Section: Optimal Structured Smc Design Problemmentioning

confidence: 99%

ℋ<inf>2</inf>-based optimal sparse sliding mode control for networked control systems

Argha

et al. 2016

2016 IEEE 55th Conference on Decision and Control (CDC)

View full text Add to dashboard Cite

show abstract

“…In case the locally stable equilibrium points are virtual, they will never be attained since the dynamics changes as soon as the trajectories cross the threshold N th . From this setup a sliding mode (Utkin 1992) along N th may ensue, if in its vicinity the vector fields of both structures are directed toward each other [see Fig 1, although the existence of virtual equilibria is not a necessary condition for the occurrence of a sliding regime (Dercole et al 2003)]. In the present context, this dynamical behavior consists of rapidly alternating pesticide application and suppression.…”

mentioning

confidence: 91%

Integrated pest management: theoretical insights from a threshold policy

Costa¹,

Faria²

2010

Neotrop. entomol.

View full text Add to dashboard Cite

-An Integrated Pest Management is formulated as a threshold policy. It is shown that when this strategy is applied to a food web consisting of generalist, specialist predators and endemic and pest prey, the dynamics can be stable and useful from the pest control point of view, despite the dynamical complexities inherent to the application of biocontrol only. In addition, pesticide toxicity depends rather on the species intrinsic parameters than on the chemical agent concentration.

show abstract

“…Tanaka et al obtained multi-DoF bilateral teleoperation by acceleration control [6]. Alternatively, the sliding mode control (SMC) theory provides a strong theoretical background and can also be applied to derive a robust control algorithm for linear and nonlinear systems [7]. Khan et al obtained bilateral teleoperation by using SMC formulation [8].…”

Section: Introductionmentioning

confidence: 99%

A Study on the FPGA Implementation of the Bilateral Control Algorithm Towards Haptic Teleoperation

Franc¹,

Hace

2013

Automatika

View full text Add to dashboard Cite

Original scientific paperThis paper presents the FPGA implementation of sliding mode control algorithm for bilateral teleoperation, such that, the problem of haptic teleoperation is addressed. The presented study improves haptic fidelity by widening the control bandwidth. For wide control bandwidth, short control periods as well as short sampling periods are required that was achieved by the FPGA. The presented FPGA design methodology applies basic optimization methods in order to meet the required control period as well as the required hardware resource consumption. The circuit specification was performed by the high-level programing language LabVIEW using the fixed-point data type. Hence, short design times for producing the FPGA logic circuit can be achieved. The proposed FPGA-based bilateral teleoperation was validated by master-slave experimental device.Key words: Bilateral teleoperation, Haptics, FPGA, Sliding Mode Control Analiza FPGA implementacije bilateralnih algoritama upravljanja za dodirnu teleoperaciju. Ovaj rad opisuje FPGA implementaciju algoritama upravljanja kliznim režimima za bilateralnu teleoperaciju, pričemu je opisan problem haptičke teleoperacije. Prikazano istraživanje poboljšava dodirnu pouzdanost proširenjem upravljačkog propusnog pojasa. Za široki propusni pojas, potrebni su kratki upravljački periodi i brzo vrijeme uzorkovanja, što je postignuto primjenom FPGA sklopovlja. Prikazana metodologija za projektiranje FPGA sklopovlja koristi osnovne optimizacijske metode s ciljem postizanja potrebnih upravljačkih perioda i zahtijevane fizičke iskorištenosti sklopovlja. Specifikacije sklopovlja su provedene programskim jezikom visoke razine LabVIEW uz korištenje podataka s nepomičnim decimalnim zarezom. Stoga je moguće implementirati traženu logiku na FPGA sklopovlje u kratkom vremenu. Opisana bilateralna teleoperacija temeljena na FPGA slopovlju je testirana na eksperimentalnom postavu s nadre enim i podre enimčvorom.

show abstract

Sliding Modes in Control and Optimization

Abstract: Original Russian language edition, entitled: B. III. YTKMH "CKOJ1b3S1~Me pe>KMMbl M MX npMMeHeHMe B 3a,qayax onTMMM3a4MM M ynpaBJ1eHMSI» HAYKA, MocKBa, 1981 r. All rights reserved.

Cited by 5,277 publications

References 37 publications

ℋ<inf>2</inf>-based optimal sparse sliding mode control for networked control systems

ℋ<inf>2</inf>-based optimal sparse sliding mode control for networked control systems

Integrated pest management: theoretical insights from a threshold policy

A Study on the FPGA Implementation of the Bilateral Control Algorithm Towards Haptic Teleoperation

Contact Info

Product

Resources

About