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Distributed control by lagrangian steepest descent
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Bieniawski, Stefan Wolpert, David H. |
| Copyright Year | 2004 |
| Description | Often adaptive, distributed control can be viewed as an iterated game between independent players. The coupling between the players mixed strategies, arising as the system evolves from one instant to the next, is determined by the system designer. Information theory tells us that the most likely joint strategy of the players, given a value of the expectation of the overall control objective function, is the minimizer of a function o the joint strategy. So the goal of the system designer is to speed evolution of the joint strategy to that Lagrangian mhimbhgpoint,lowerthe expectated value of the control objective function, and repeat Here we elaborate the theory of algorithms that do this using local descent procedures, and that thereby achieve efficient, adaptive, distributed control. |
| File Size | 916904 |
| Page Count | 8 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20040084373 |
| Archival Resource Key | ark:/13960/t9285912p |
| Language | English |
| Publisher Date | 2004-01-01 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics, Artificial Intelligence And Robotics Euler-lagrange Equation Mathematical Models Algorithms Adaptive Control Distributed Parameter Systems Information Theory Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
