Sandell, N., Varaiya, P., Athans, M., and Safonov, M., Survey of Decentralized Control Methods for Large Scale Systems, IEEE Transactions on Automatic Control, Vol. AC-23, No. 2, pp. 108-128, 1978.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....research has also studied the design of decentralized control actions for spatially distributed phenomena. One approach is to simplify (e.g. linearize) the model of a system and apply traditional engineering techniques (e.g. linear quadratic gaussian control or Kalman filters) to the design [49]. Another approach is to apply local control methods at the individual controllers and then use hierarchical techniques to exchange information necessary for global control [50] Market basedmethods [51] allow individual controllers to negotiate commodities representing control parameters in order ....

N. Sandell Jr., P. Varaiya, M. Athans, M. Safonov, Survey of decentralized control methods for large scale systems, IEEE Trans. on Automation Control 23 (2).

....research has also studied the design of decentralized control actions for spatially distributed phenomena. One approach is to simplify (e.g. linearize) the model of a system and apply traditional engineering techniques (e.g. linear quadratic gaussian control or Kalman filters) to the design [49]. Another approach is to apply local control methods at the individual controllers and then use hierarchical techniques to exchange information necessary for global control [50] Market based methods [51] allow individual controllers to negotiate commodities representing control parameters in ....

N. Sandell Jr., P. Varaiya, M. Athans, M. Safonov, Survey of decentralized control methods for large scale systems, IEEE Trans. on Automatica Control 23(2).

....their models of other agents as well. This creates a recursion and hence the need of a recursive modeling method (RMM) The problem there is to nd the best local policy for this agent. Also related to this work is the theoretical study of decentralized control of nite state Markov processes [1, 9, 13]. There, both decentralized states and partitioned actions are assumed, and each agent s decision is based on its local information. However, they do not have communication decisions as well, instead, a xed common information structure is assumed, usually in the form of a delay of nonlocal ....

N. R. Sandell, P. Varaiya, M. Athans, and M. Safonov. Survey of decentralized control methods for large scale systems. IEEE Transactions on Automatic Control, AC-23:108-128, 1978.

....standard MDP (or POMDP) but it does not reflect the multi agent nature of the system. In contrast, our multi agent decision process emphasizes the decentralized nature of the system. Our work is also an generalization of theoretic works on decen tralized control of finite state Markov processes [1, 4, 5]. 2. Model Description Here we give a brief summary of our formal model, which models a cooperative multi agent system with 2 agents. Systems with 3 or more agents can be easily extended. We consider discrete, finite horizon problems at the moment. Agent x s local Markov process (note it is ....

N. R. Sandell, P. Varaiya, M. Athans, and M. Safonov. Survey of decentralized control methods for large scale systems. IEEE Transactions on Automatic Control, AC-23:108--128, 1978.

....August 1994 ISRAM 94. 5 interaction is needed between the processes to perform the algorithm, 3] The trade offs and possibilities associated with partitioned relaxed algorithm decomposition have been treated in several disciplines, for instance, subsystem decoupling in large scale systems [9]; and convergence of numerical algorithms in a distributed environment [10] A model for decomposition One way of viewing decomposition is as a chain of transformations: B#C#A. The first step can be viewed as a replication followed by simplifications of the functions. This is one way of ....

N.R. Sandell, P. Varaiya, M. Athans, M.G. Safononv, "Survey of Decentralized Control Methods for Large Scale Systems", IEEE Trans. Automatic Control, Vol AC--23. No. 2. April 1978.

....referenced in the current literature on distributed real time control systems. Decomposition, partitioning and allocation are treated in early work by Jensen and Boebert (1976) and Wolff (1977) Dynamic decomposition has been addressed in the field of decentralized control and large scale systems (Sandell, et al. 1978). Early applications include military and space systems (Ramseyer, et al. 1979) Duffie (1982) discusses distributed control in the context of machine control applications. Guth and d Epinay (1983) in the context of process control systems, formalized the distributed data flow communication ....

Sandell N. R., Varaiya P., Athans M., Safononv M. G. (1978). Survey of Decentralized Control Methods for Large Scale Systems. IEEE Trans. Aut. Control, Vol AC--23. No. 2. April 1978.

....structured singular value techniques (see for example [20, 21, 22, 23] for robust performance controller design in this study. 5.1 Decentralized Control Figure 7 shows the decentralized nature of the plant, uncertainty, and controller. The decentralized controller structure (see for example [25, 26, 27]) is enforced by the classical loop at a time design, namely, design a substructure controller while holding the remaining substructure controllers constant. Figure 8 shows the first two steps of the design sequence to incorporate both robustness and decentralization of the overall system for a ....

Sandell, N.R., Jr., Varaiya, P., Athans, M., and Safonov, "Survey of Decentralized Control Methods for Large Scale Systems," IEEE Transactions on Automatic Control, Vol. AC-23, No.2, April 1978, pp.108-128.

....in order to decouple the field. In contrast, traditional numerical simulations require humans to interpret and explain the results. Unlike control design for lumped parameter, linear systems, few analytic design techniques have been developed for distributed control of large physical fields [12]. In practice, the design is often accomplished by brute force numerical simulations. SA offers a powerful modeling framework and an alternative mechanism for synthesizing decentralized control. The multi resolutional SA model is particularly useful for formulating structural design problems that ....

N. Sandell Jr., P. Varaiya, M. Athans, and M. Safonov. Survey of decentralized control methods for large scale systems. IEEE Trans. on Automatica Control, 23(2), 1978.

....agents do not have the same thought process, then the approaches presented in [2] would complement this work when coordinating agents local actions to follow the exact same optimum. This work is also very closely related to theoretic works on decentralized control of finite state Markov processes [1, 7, 8]. There, both partitioned states and partitioned actions are assumed, and each decision making agent s decision is based on its local information. However, they do not explicitly model communication actions, instead a fixed common information structure is assumed, usually in the form of a delay of ....

N. R. Sandell Jr., P. Varaiya, M. Athans, and M. Safonov. Survey of decentralized control methods for large scale systems. IEEE Transactions on Automatic Control, AC-23:108--128, 1978.

....their models of other agents as well. This creates a recursion and hence the need of a recursive modeling method (RMM) The problem there is to find the best local policy for this agent. Also related to this work is the theoretical study of decentralized control of finite state Markov processes [1, 9, 13]. There, both decentralized states and partitioned actions are assumed, and each agent s decision is based on its local information. However, they do not have communication decisions as well, instead, a fixed common informa tion structure is assumed, usually in the form of a delay of nonlocal ....

N. R. Sandell, P. Varaiya, M. Athans, and M. Safonov. Survey of decentralized control methods for large scale systems. IEEE Transactions on Automatic Control, AC-23:108--128, 1978.

.... an inherently decentralized one, which is fundamentally different from centralized ones which assume the global state knowledge (Witsenhausen 1968) Also related to this work is the theoretical study of decentralized control of finite state Markov processes (Aicardi, Davoli, Minciardi 1987; Sandell et al. 1978), but they do not have communication decisions as well. The problem of decision making with the cost of communication is a very important one. In the single agent case, it is studied in (Hansen, Barto, Zilberstein 1996; Hansen Zilberstein 1996) where communication takes the special form of an ....

Sandell, N. R.; Varaiya, P.; Athans, M.; and Safonov, M. 1978. Survey of decentralized control methods for large scale systems. IEEE Transactions on Automatic Control AC-23:108--128.

....has focused on moving away from centralised forms of control where information is stored and calculations take place in one location or control computer. This centralised strategy typically involves the classical control theoretic techniques of analysis and design for small scale systems which, as Sandell et al. 1978) note, rest on the common presupposition of centrality . When large scale systems such as manufacturing systems are considered, the problem becomes difficult, if not impossible, to solve using classical control theoretic techniques. The solution to this inadequacy of centralised control of ....

Sandell, N., Varaiya, P., Athans, M. and Safonov, M. (1978) Survey of decentralized control methods for large scale systems. IEEE Transactions on Automatic Control, Vol. AC-23, No. 2, pp. 108-128.

....research has also studied the design of decentralized control actions for spatially distributed phenomena. One approach is to simplify (e.g. linearize) the model of a system and apply traditional engineering techniques (e.g. linearquadratic gaussian control or Kalman lters) to the design [68]. Another approach is to apply local control methods at the individual controllers and then use hierarchical techniques to exchange information necessary for global control [37] Market based methods [81] allow individual controllers to negotiate commodities representing control parameters in ....

N. Sandell Jr., P. Varaiya, M. Athans, and M. Safonov. Survey of decentralized control methods for large scale systems. IEEE Trans. on Automatica Control, 23(2), 1978.

....important spatial information in the spatial objects and the neighborhood structures, permitting efficient reasoning about these phenomena. Unlike control design for lumped parameter linear systems, few analytic design techniques have been developed for distributed control of large physical fields (Sandell Jr. et al. 1978). In practice, the design is often accomplished by brute force numerical simulations. SA offers a powerful modeling framework and an alternative mechanism for synthesizing decentralized control. The multi resolutional SA model is particularly useful for formulating structural design problems that ....

Sandell Jr., N.; Varaiya, P.; Athans, M.; and Safonov, M. 1978. Survey of decentralized control methods for large scale systems. IEEE Trans. on Automatica Control 23(2).

....important spatial information in the spatial objects and the neighborhood structures, permitting efficient reasoning about these phenomena. Unlike control design for lumped parameter linear systems, few analytic design techniques have been developed for distributed control of large physical fields (Sandell Jr. et al. 1978). In practice, the design is often accomplished by brute force numerical simulations. SA offers a powerful modeling framework and an alternative mechanism for synthesizing decentralized control. The multi resolutional SA model is particularly useful for formulating structural design problems that ....

Sandell Jr., N.; Varaiya, P.; Athans, M.; and Safonov, M. 1978. Survey of decentralized control methods for large scale systems. IEEE Trans. on Automatica Control 23(2).

....and quantitative dependencies of physical fields and can be regarded as a more refined mechanism for reasoning about spatial phenomena. Unlike control design for lumped parameter linear systems, few analytic design techniques have been developed for distributed control of large physical fields (Sandell Jr. et al. 1978). In practice, the design is often accomplished by brute force numerical computation. Among the recent experimental work in decentralized control, Doumanidis (Doumanidis 1997) addressed the problem of control parameter optimization for distributed parameter systems. He introduced a first order ....

Sandell Jr., N.; Varaiya, P.; Athans, M.; and Safonov, M. 1978. Survey of decentralized control methods for large scale systems. IEEE Trans. on Automatica Control 23(2).

....i.e. derivation of a simplified network model by introducing a coarser state description, which retains the information required by the controller. Aggregation methods are among the most important techniques used to simplify the system s state space in the context of decentralized control; see [SAND78]. 2. decomposition of the aggregate model into K simpler models. Each model is associated with a controller and describes the evolution of the part of the system s state observed by the controller. These simpler models are generally coupled via a set of parameters. The Norton s equivalent concept ....

Nils R. Sandell, Parvin Varaiya, Michael Athans, and Michael G. Safonov, "Survey of Decentralized Control Methods for Large Scale Systems," IEEE Transactions on Automatic Control, vol. AC-23, pp. 108--128, April 1978.

No context found.

Sandell, N., Varaiya, P., Athans, M., and Safonov, M., Survey of Decentralized Control Methods for Large Scale Systems, IEEE Transactions on Automatic Control, Vol. AC-23, No. 2, pp. 108-128, 1978.

No context found.

N. Sandell, P. Varaiya, M. Athans, and M. Safonov. Survey of decentralized control methods for large scale systems. IEEE Transactions on Automatic Control, AC-23(2):108-- 128, 1987.

No context found.

Sandell, N. R., P. Varaiya, M. Athans and M. G. Safonov, `Survey of decentralized control methods for large scale systems', IEEE rans. Automat Control, 23, 108---128 (1978).

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