Static output feedback—A survey

Syrmos, V.L.; Abdallah, Chaouki T.; Dorato, P.; Grigoriadis, Karolos

doi:10.1016/s0005-1098(96)00141-0

Cited by 856 publications

(229 citation statements)

References 85 publications

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“…As the general analytical solution has not been found [20], it was concluded that stability can be guaranteed if the control signal sampling time is different from the sampling time of the measured output samples. Such a control concept is called multirate output feedback [21][22][23].…”

Section: Fast Output Sampling Algorithmmentioning

confidence: 99%

State Variables Estimation of Fuel Cell—Boost Converter System Using Fast Output Sampling Method

2013

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Original scientific paperEstimation of state variables of a peak current mode (PCM) controlled DC-DC boost converter supplied by a PEM fuel cell is described in this paper. Since this system is highly nonlinear and non-minimum phase, its state variables are estimated by using fast output sampling method. Estimated state variables are the converter output voltage and its first derivative, and they are suitable for model reference adaptive control or sliding mode based control techniques. The estimator has been designed in a way that it gives a good estimate of the state variables in the continuous and in the discontinuous conduction mode of the converter, and in the presence of measurement and process noise caused by converter switching-mode operation. Experimental results of estimating the state variables on a 450 W boost converter supplied by the emulator of the PEM fuel cell BCS 64-32 show good results of the estimation, regardless of the conduction mode of the converter, i.e. the operating point determined by its output current.Key words: state-space variables, estimation, fast output sampling, peak current mode control, boost converter, step-up converter, PEM fuel cell Procjena varijabli stanja sustava s gorivnimčlankom i uzlaznim pretvaračem metodom brzog uzorkovanja signala. U ovom radu obradena je procjena varijabli stanja sustava s istomjernim uzlaznim pretvaračem u vršnom strujnom načinu upravljanja napajanim PEM gorivnimčlankom. Budući da je taj sustav izrazito nelinearan te neminimalno-fazan, za procjenu njegovih varijabli stanja upotrebljena je metoda brzog uzorkovanja izlaznog signala. Procjenjene varijable stanja su izlazni napon uzlaznog pretvarača te njegova prva derivacija, te su pogodne za adaptivno upravljanje s referentnim modelom i upravljanje temeljeno na kliznim režimima. Procjenitelj je projektiran na način da daje dobru procjenu varijabli stanja u kontinuiranom i diskontinuiranom režimu rada pretvarača, te u uvjetima mjernog i procesnog šuma uzrokovanog sklopnim načinom rada pretvarača. Eksperimentalni rezultati procjene varijabli stanja na uzlaznom pretvaraču snage 450 W napajanim emulatorom gorivnogčlanka BCS 64-32 pokazuju dobre rezultate procjene, neovisno o režimu rada pretvarača, odnosno radnoj točki odredenoj njegovom izlaznom strujom.Ključne riječi: varijable stanja, procjena, brzo uzorkovanje signala, vršno strujno upravljanje, istosmjerni uzlazni pretvarač, PEM gorivničlanak

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Section: Fast Output Sampling Algorithmmentioning

confidence: 99%

State Variables Estimation of Fuel Cell—Boost Converter System Using Fast Output Sampling Method

2013

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“…In this paper, we do not intend to present any results on dual system augmentation, due to the page length consideration, and further discussion on this issue will appear in our future work. In addition, many dynamic output-feedback synthesis problems can be reformulated as an SOF control design involving augmented plants (Syrmos, Abdallah, Dorato, & Grigoriadis, 1997), and thus the approach presented in this paper is applicable to the dynamic output-feedback case as well. …”

Section: Preliminariesmentioning

confidence: 99%

Static output-feedback stabilization of discrete-time Markovian jump linear systems: A system augmentation approach

2010

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a b s t r a c tThis paper studies the static output-feedback (SOF) stabilization problem for discrete-time Markovian jump systems from a novel perspective. The closed-loop system is represented in a system augmentation form, in which input and gain-output matrices are separated. By virtue of the system augmentation, a novel necessary and sufficient condition for the existence of desired controllers is established in terms of a set of nonlinear matrix inequalities, which possess a monotonic structure for a linearized computation, and a convergent iteration algorithm is given to solve such inequalities. In addition, a special property of the feasible solutions enables one to further improve the solvability via a simple D-K type optimization on the initial values. An extension to mode-independent SOF stabilization is provided as well. Compared with some existing approaches to SOF synthesis, the proposed one has several advantages that make it specific for Markovian jump systems. The effectiveness and merit of the theoretical results are shown through some numerical examples.

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“…Output feedback control then becomes necessary in such scenarios. Although (static) output feedback control is a well studied problem, no complete solution has been found [7]. Furthermore, of particular relevance to this paper, it is well known that double integrator systems cannot be asymptotically stabilized via static output feedback.…”

Section: Introductionmentioning

confidence: 99%

Delayed static output feedback control of a network of double integrator agents

2013

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This paper considers a network of vehicles moving in a two dimensional plane. The overall network, described by a collection of double integrator dynamics, is controlled by a novel distributed static output feedback methodology to maintain a desired formation. The distributed control architecture stabilizes the network using static output feedback of position information only, by exploiting delays in communication of the relative information. An optimization algorithm, based on Linear Matrix Inequalities together with the DIRECT search algorithm, is used to synthesize the controller gains and the delay.

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Static output feedback—A survey

Abstract: This paper reviews the static output feedback problem in the control of linear, time-invariant LTI systems. It includes analytical and computational methods and presents in a uni ed fashion, the knowledge gained in the decades of research i n to this most important problem.

Cited by 856 publications

References 85 publications

State Variables Estimation of Fuel Cell—Boost Converter System Using Fast Output Sampling Method

State Variables Estimation of Fuel Cell—Boost Converter System Using Fast Output Sampling Method

Static output-feedback stabilization of discrete-time Markovian jump linear systems: A system augmentation approach

Delayed static output feedback control of a network of double integrator agents

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