Dahleh, Munther A.
Overview
Works:  53 works in 87 publications in 2 languages and 521 library holdings 

Roles:  Author 
Classifications:  TJ213, 629.8 
Publication Timeline
.
Most widely held works by
Munther A Dahleh
Computational methods for controller design by
Nicola Elia(
Book
)
12 editions published in 1998 in English and German and held by 203 WorldCat member libraries worldwide
The monograph is concerned with computational methods for controller design that allow several typical performance specifications to be directly imposed on a system. The general approach proposed, is applicable to a large class of problems; it is based on posing multiobjective control problems as convex infinite dimensional optimization problems. Particularly interesting and useful are the following methodological as pects of the approach proposed in the monograph. These are: A unified way to pose the problems as generalized linear programs. Duality theory results that characterize the duality relationship for the generalized linear programs arising from multiobjective control problems. A set of tools to analyse the convergence properties of the computational method based on the duality relationship. The complete analysis and extension of methods developed for the L1 problem, for several important multiobjective problems. This book is primarily concerned with multiobjective control problems as convex optimizations on the space of the closed loop maps. However, the issue of deriving exact or approximate solutions is similar when the problems are posed as dynamic games in s tate space. Therefore the problem of finding the state feedback controller that minimizes the worstcase peaktopeak amplification of the closed loop system, is considered in the last chapter. The objective of this work is to propose generic computation methods that can be used to solve a wide range of multiobjective control problems. Infinite dimensional convex optimization problems are considered, giving the book a broader focus than other competitive titles in this field. This nonexclusive approach will have a wide appeal for scientists and graduate students. They will be able to determine and analyse readily implementable computational methods to derive exact or approximate solutions. Key words for the catalogue index: Controller design, multi objective control, computational methods, linear programming, robust control. USPs:Generic computational methods are proposed  these can be used to solve a wide range of multiobjective control p roblems. A new computational method for the L1 problem is suggested, which is superior to existing approaches and is based on the solution of a mixed objective problem. The reader will greatly benefit from the comprehensive treatment of this topic
12 editions published in 1998 in English and German and held by 203 WorldCat member libraries worldwide
The monograph is concerned with computational methods for controller design that allow several typical performance specifications to be directly imposed on a system. The general approach proposed, is applicable to a large class of problems; it is based on posing multiobjective control problems as convex infinite dimensional optimization problems. Particularly interesting and useful are the following methodological as pects of the approach proposed in the monograph. These are: A unified way to pose the problems as generalized linear programs. Duality theory results that characterize the duality relationship for the generalized linear programs arising from multiobjective control problems. A set of tools to analyse the convergence properties of the computational method based on the duality relationship. The complete analysis and extension of methods developed for the L1 problem, for several important multiobjective problems. This book is primarily concerned with multiobjective control problems as convex optimizations on the space of the closed loop maps. However, the issue of deriving exact or approximate solutions is similar when the problems are posed as dynamic games in s tate space. Therefore the problem of finding the state feedback controller that minimizes the worstcase peaktopeak amplification of the closed loop system, is considered in the last chapter. The objective of this work is to propose generic computation methods that can be used to solve a wide range of multiobjective control problems. Infinite dimensional convex optimization problems are considered, giving the book a broader focus than other competitive titles in this field. This nonexclusive approach will have a wide appeal for scientists and graduate students. They will be able to determine and analyse readily implementable computational methods to derive exact or approximate solutions. Key words for the catalogue index: Controller design, multi objective control, computational methods, linear programming, robust control. USPs:Generic computational methods are proposed  these can be used to solve a wide range of multiobjective control p roblems. A new computational method for the L1 problem is suggested, which is superior to existing approaches and is based on the solution of a mixed objective problem. The reader will greatly benefit from the comprehensive treatment of this topic
Control of uncertain systems : a linear programming approach by
Munther A Dahleh(
Book
)
7 editions published in 1995 in English and held by 174 WorldCat member libraries worldwide
7 editions published in 1995 in English and held by 174 WorldCat member libraries worldwide
Optimal asymptotic identification under bounded disturbances by
David N. C Tse(
Book
)
2 editions published in 1990 in English and held by 4 WorldCat member libraries worldwide
2 editions published in 1990 in English and held by 4 WorldCat member libraries worldwide
H[infinity] and H² optimal controllers for periodic and multirate systems by Petros Voulgaris(
Book
)
3 editions published in 1991 in English and held by 3 WorldCat member libraries worldwide
3 editions published in 1991 in English and held by 3 WorldCat member libraries worldwide
BIBO stability robustness for coprime factor perturbations by
Munther A Dahleh(
Book
)
2 editions published in 1990 in English and held by 3 WorldCat member libraries worldwide
2 editions published in 1990 in English and held by 3 WorldCat member libraries worldwide
Bayesian learning in social networks by
Daron Acemoglu(
Book
)
5 editions published in 2008 in English and held by 3 WorldCat member libraries worldwide
We study the perfect Bayesian equilibrium of a model of learning over a general social network. Each individual receives a signal about the underlying state of the world, observes the past actions of a stochasticallygenerated neighborhood of individuals, and chooses one of two possible actions. The stochastic process generating the neighborhoods defines the network topology (social network). The special case where each individual observes all past actions has been widely studied in the literature. We characterize purestrategy equilibria for arbitrary stochastic and deterministic social networks and characterize the conditions under which there will be asymptotic learning  that is, the conditions under which, as the social network becomes large, individuals converge (in probability) to taking the right action. We show that when private beliefs are unbounded (meaning that the implied likelihood ratios are unbounded), there will be asymptotic learning as long as there is some minimal amount of "expansion in observations". Our main theorem shows that when the probability that each individual observes some other individual from the recent past converges to one as the social network becomes large, unbounded private beliefs are sufficient to ensure asymptotic learning. This theorem therefore establishes that, with unbounded private beliefs, there will be asymptotic learning an almost all reasonable social networks. We also show that for most network topologies, when private beliefs are bounded, there will not be asymptotic learning. In addition, in contrast to the special case where all past actions are observed, asymptotic learning is possible even with bounded beliefs in certain stochastic network topologies
5 editions published in 2008 in English and held by 3 WorldCat member libraries worldwide
We study the perfect Bayesian equilibrium of a model of learning over a general social network. Each individual receives a signal about the underlying state of the world, observes the past actions of a stochasticallygenerated neighborhood of individuals, and chooses one of two possible actions. The stochastic process generating the neighborhoods defines the network topology (social network). The special case where each individual observes all past actions has been widely studied in the literature. We characterize purestrategy equilibria for arbitrary stochastic and deterministic social networks and characterize the conditions under which there will be asymptotic learning  that is, the conditions under which, as the social network becomes large, individuals converge (in probability) to taking the right action. We show that when private beliefs are unbounded (meaning that the implied likelihood ratios are unbounded), there will be asymptotic learning as long as there is some minimal amount of "expansion in observations". Our main theorem shows that when the probability that each individual observes some other individual from the recent past converges to one as the social network becomes large, unbounded private beliefs are sufficient to ensure asymptotic learning. This theorem therefore establishes that, with unbounded private beliefs, there will be asymptotic learning an almost all reasonable social networks. We also show that for most network topologies, when private beliefs are bounded, there will not be asymptotic learning. In addition, in contrast to the special case where all past actions are observed, asymptotic learning is possible even with bounded beliefs in certain stochastic network topologies
BIBO stability robustness in the presence of coprime factor perturbations by
Munther A Dahleh(
Book
)
2 editions published between 1989 and 1990 in English and held by 3 WorldCat member libraries worldwide
2 editions published between 1989 and 1990 in English and held by 3 WorldCat member libraries worldwide
Optimal rejection of bounded persistent disturbances in periodic systems by
Munther A Dahleh(
Book
)
2 editions published in 1990 in English and held by 3 WorldCat member libraries worldwide
2 editions published in 1990 in English and held by 3 WorldCat member libraries worldwide
H [subscript infinity] optimal control for the attitude control and momentum management of the space station by A Pothiawala(
Book
)
2 editions published in 1990 in English and held by 3 WorldCat member libraries worldwide
Abstract: "The basic problem in designing control systems is the ability to achieve good performance in the presence of uncertainities such as output disturbances, measurement noise or unmodelled dynamics (i.e. robust controllers). Recent development in the area has been directed towards developing a consistant design methodology within this uncertain environment. Examples of these are H₂, H[subscript infinity] and L¹ optimization problems. The attitude control/momentum management of the space station poses a typical problem in an uncertain environment (mass properties of the Space Station and environmental disturbances)
2 editions published in 1990 in English and held by 3 WorldCat member libraries worldwide
Abstract: "The basic problem in designing control systems is the ability to achieve good performance in the presence of uncertainities such as output disturbances, measurement noise or unmodelled dynamics (i.e. robust controllers). Recent development in the area has been directed towards developing a consistant design methodology within this uncertain environment. Examples of these are H₂, H[subscript infinity] and L¹ optimization problems. The attitude control/momentum management of the space station poses a typical problem in an uncertain environment (mass properties of the Space Station and environmental disturbances)
L¹optimal attitude control of a space station by
Munther A Dahleh(
Book
)
2 editions published in 1990 in English and held by 3 WorldCat member libraries worldwide
2 editions published in 1990 in English and held by 3 WorldCat member libraries worldwide
Reducedorder modelling and control of a class of systems for which balanced truncation is Hankelnorm optimal by
D Mustafa(
Book
)
1 edition published in 1992 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 1992 in English and held by 2 WorldCat member libraries worldwide
Gun/turret system identification and controller design by D Obradovic(
Book
)
1 edition published in 1992 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 1992 in English and held by 2 WorldCat member libraries worldwide
L1̳ sensitivity minimization for plants with commensurate delays by
Munther A Dahleh(
Book
)
2 editions published in 1988 in English and held by 2 WorldCat member libraries worldwide
2 editions published in 1988 in English and held by 2 WorldCat member libraries worldwide
A class of adaptive controllers with application to robust adaptive control by
Mohammed A Dahleh(
Book
)
2 editions published in 1988 in English and held by 2 WorldCat member libraries worldwide
2 editions published in 1988 in English and held by 2 WorldCat member libraries worldwide
On slowly timevarying systems by
Mohammed A Dahleh(
Book
)
1 edition published in 1989 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 1989 in English and held by 2 WorldCat member libraries worldwide
Timevarying compensation can yield no improvement for ℓ₁sensitivity minimization by
Munther A Dahleh(
Book
)
2 editions published in 1988 in English and held by 2 WorldCat member libraries worldwide
2 editions published in 1988 in English and held by 2 WorldCat member libraries worldwide
Minimization of the L[infinity]induced norm for sampleddata systems by
Bassam Bamieh(
Book
)
2 editions published in 1991 in English and held by 2 WorldCat member libraries worldwide
2 editions published in 1991 in English and held by 2 WorldCat member libraries worldwide
Control Theoretic Modeling for Uncertain Cultural Attitudes and Unknown Adversarial Intent(
Book
)
1 edition published in 2009 in English and held by 1 WorldCat member library worldwide
The focus of the project is to develop control theoretic models with supporting decision making methods to address the problem of strategic decision making for military operations in an environment that is strongly influenced by the presence of interacting subcultures. The specific directions of the project are: (1) Modeling of social behaviors that address incomplete information and indeterminate models for uncertainty management. (2) Robust decisionmaking based on incentive design, optimization, and learning, and (3) Constructive computational tools
1 edition published in 2009 in English and held by 1 WorldCat member library worldwide
The focus of the project is to develop control theoretic models with supporting decision making methods to address the problem of strategic decision making for military operations in an environment that is strongly influenced by the presence of interacting subcultures. The specific directions of the project are: (1) Modeling of social behaviors that address incomplete information and indeterminate models for uncertainty management. (2) Robust decisionmaking based on incentive design, optimization, and learning, and (3) Constructive computational tools
The sample complexity of worstcase identification of F.I.R. linear systems by
Munther A Dahleh(
Book
)
1 edition published in 1992 in English and held by 1 WorldCat member library worldwide
1 edition published in 1992 in English and held by 1 WorldCat member library worldwide
Robust Identification and Control(
Book
)
2 editions published in 1998 in English and held by 1 WorldCat member library worldwide
This final report summarizes the research contributions under AFOSR grant No. F496209510219. The work covered two major research directions. The first is in the area of robust linear and nonlinear control. In the linear area, a complete computationallybased methodology was developed for designing controllers that can meet multiple performance objectives in both the time and frequency domain. The research culminated in a book on multiobjective control. In the nonlinear area, an alternative to gainscheduling that requires scheduling in Lyapunov space has been proposed which gives rise to a computational tool for synthesizing controllers with guaranteed stability. In addition, the theory of Neurodynamic programming was developed to handle largescale nonlinear optimal control problems. This research culminated in another' book on the theory and applications of NeuroDynamic programming. The second research direction is in the area of system identification. In that field, a new paradigm was proposed that allows deriving simple lowcomplexity models from noisy data obtained from complex systems. Within this paradigm, it is shown how to bridge the gap between stochastic and deterministic descriptions of noise. These developments have been shown to play a major role in many application domains
2 editions published in 1998 in English and held by 1 WorldCat member library worldwide
This final report summarizes the research contributions under AFOSR grant No. F496209510219. The work covered two major research directions. The first is in the area of robust linear and nonlinear control. In the linear area, a complete computationallybased methodology was developed for designing controllers that can meet multiple performance objectives in both the time and frequency domain. The research culminated in a book on multiobjective control. In the nonlinear area, an alternative to gainscheduling that requires scheduling in Lyapunov space has been proposed which gives rise to a computational tool for synthesizing controllers with guaranteed stability. In addition, the theory of Neurodynamic programming was developed to handle largescale nonlinear optimal control problems. This research culminated in another' book on the theory and applications of NeuroDynamic programming. The second research direction is in the area of system identification. In that field, a new paradigm was proposed that allows deriving simple lowcomplexity models from noisy data obtained from complex systems. Within this paradigm, it is shown how to bridge the gap between stochastic and deterministic descriptions of noise. These developments have been shown to play a major role in many application domains
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Related Identities
 Elia, Nicola 1962 Author
 DiazBobillo, Ignacio J. Author
 Massachusetts Institute of Technology Laboratory for Information and Decision Systems
 Center for Intelligent Control Systems (U.S.)
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 Valavani, Lena
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 Acemoglu, Daron Author
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