Controls for unstable structures

1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, 1980

The design of stabilizing feedback controls for Large-Scale Systems often requires the general concepts of d e c e n t r a l i z a t i o n. I n t h i s p a p e r , we present a s t r u c t u r a l framework f o r t h e m u l t i l e v e l s t a b i l i z a t i o n problem of Large-Scale Systems. I n t h i s c o n t e x t , ve a d d r e s s t h e s t a b i l i z a t i o n of f i x e d m d e s v i a l o c a l and global feedback controls and develop a Dynamical Bierarchical approach to stabilization.

1985 24th IEEE Conference on Decision and Control, 1985

Umi t O z g u n e r E n r i q u e B a r h i e r i D e p a r t m e n t o f E l e c t r i c a l E n g i n e e r i n g T h e O h i o S t a t e U n i v e r s i t y Columbus, Ohio 43210 A b s t r a c t -Many large scale mechanical systems can be modeled i n t e r m s o f p a r t i a l d i f f e r e n t i a l e q u a t i o n s w h i c h c a n t h e n b e d i s c r e t i z e d t o g i v e w h a t may be termed "homogeneous interconnected systems" or "cellu l a r s t r u c t u r e s " . I n t h i s p a p e r we c o n s i d e r a c l a s s o f

1986

This report has been reviewe'6 br the RADC Public Affairs Office (PA) and b is releasO-le to the National Technical Information Service (NTIS). At NTIS it will be releasable to the general public, including foreing nations. RADC-TR-85-199 has been reviewed and is approved for publication. APPROVED: .-UNCLASSIFIED Ia EOTSECURITY CLASSIFICATION EOR DOCMETAO PAGE6 la. EPOT SEURIY CLSSIICATON b. RESTRICTIVE MARKINGS UcLAsIFIED N/A 2a. SECURITY CLASSIFICATION AUTHORITY 3. DISTRIBUTION/IAVAILABIUITY OF REPORT X/iA Approved for public release; 2b. DECLASSIFICATION i DOWNGRADING SCHEDULE distribution unlimited 4. PERFORMING ORGANIZATION REPORT NUMBER(S) S. MONITORING ORGANIZATION REPORT NUMBER(S) ,%%. CMU-CS-ARCRONs-83-1 ACT.8 9 6a. NAME OF PERFORMING ORGANIZATION 6b. OFFICE SYMBOL 7a. NAME OF MONITORIN4G ORGANIZATION Carnegie-Mellon University Rome Air DeveomtCner COD 6c. ADDRESS (City, State, and ZIPCod.) 7b ADDRESS (City, State. and ZIP Code)p Dept. of Computer Science Griffiss AFB NY 13441-5700 Pittsburgh PA 15213 Ba. NAME OF FUNDING / SPONSORING Sb. OFFICE SYMBOL 9 PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER 'i Rome Air Development Center COTD 730602-8l-C-0297 '.-8c. ADDRESS (City State, and ZIP Code) 10. SOURCE OF FUNDING NUMBERS

1991

We describe a simple and robust procedure for stabilizing the behavior of distributed systems in the presence of imperfect and delayed information. This decentralized mechanism is based on local rewards whereby the relative number of computational agents following effective strategies is increased at the expense of the others. This procedure, which generates a diverse population out of an essentially homogeneous one, is able to control the system through a series of dynamical bifurcations into a stable fixed point.

European Journal of Operational Research, 1981

... Book. Title, Control and coordination in hierarchical systems. Author(s), Findeisen, W ; Bailey, FN ; Brdeys, M ; Malinowski, K ; Tatjewski, P (ed.) ; Wozniak, J (ed.). Imprint, Chichester : Wiley, 1980. - 467 p. Series, (Internat. Ser. Appl. Syst. Anal. ; 9). Subject code, 519.876 ; 007. ...

Automatica, 1977

43ame theoretic ideas are employed in establishing the tradeoffs between control effort and 'degree' of stabilization for a class of feedback controls. These control laws are particularly suited for decentralized stabilization of interconnected systems.

IMPROVEMENT OF SCIENTIFIC APPROACHES TO THE DEVELOPMENT OF ENGINEERING, 2022

2.1 Nonlinear dynamics in problems of controlling technological complexes Modern technological complexes, organizational and technical (technological) systems consist of complexes of subsystems that perform specific functions and are interconnected by complex processes of intensive dynamic interaction and exchange of energy, matter and information. In such complex nonlinear, multidimensional and multiconnected systems, transients occur, critical and chaotic regimes arise. To increase the efficiency of managing complex systems, modern management theory also uses methods of synergetics based on the idea of self-organization [131, 132]. Synergetics is an integrated science that studies the processes of self-organization and covers almost all modern knowledge about phenomena of different nature. The basis of synergetics is nonlinear dynamics and thermodynamics of irreversible processes. The meaning and content of synergetics is that in open systems that exchange energy, matter and information with the external environment, there are processes of spontaneous self-organization (the emergence from the chaos of some ordered structures with new properties). Synergetic systems have fundamental properties: • obligatory exchange of energy, matter and information with the external environment;

2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2013

In decentralized supervisory control, several local control agents (supervisors) cooperate to achieve a common goal, expressed by a safety specification and/or by nonblockingness. It is well-known that coobservability is the key condition to achieve the specification as the resulting language of the controlled system. One of the most important problems is to compute a coobservable sublanguage of the specification. This paper shows how recent results in coordination control of modular discrete-event systems help to construct a coobservable sublanguage in a computationally cheap way. The impact of coordination control on decentralized control is discussed in detail.

Lecture Notes in Computer Science, 2003

In this paper we propose a logical framework for modelling obligations and permissions regulating decentralized communities of heterogeneous agents. Since there is no central design in such virtual communities, it is necessary to express global policies concerning the local policies regulating the local resources. We address this problem in a logical framework for normative multiagent systems which is based on three ideas. First, we distinguish between agents whose behavior is governed by norms and autonomous normative agents who establish and enforce the policies. Second, we distinguish some of the usual mental attitudes for all agents, including the normative agents. Third, we distinguish between behavior that counts as a violation and sanctions. To formalize decision making we use a qualitative game theory. n-player games are based on recursive modelling: the bearer of a norm models the behavior of local normative authorities as agents who are in turn subject to other norms and thus model global normative agents.

2010

Abstract: The paper studies some basic aspects of decentralized control design concerning stability and performance. Control structure selection based on performance relative gain array (PRGA, Hovd, Skogestad, 1992) is used and its ability to evaluate the achievable performance is discussed. Robust stability condition for decentralized control is considered, which provides the upper level on subsystems, thus limiting the performance. The compromise between robust stability and performance is illustrated on example and provides material which can be used in teaching complex systems control.