Title | ||
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Event-Triggered Distributed Approximate Optimal State and Output Control of Affine Nonlinear Interconnected Systems. |
Abstract | ||
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This paper presents an approximate optimal distributed control scheme for a known interconnected system composed of input affine nonlinear subsystems using event-triggered state and output feedback via a novel hybrid learning scheme. First, the cost function for the overall system is redefined as the sum of cost functions of individual subsystems. A distributed optimal control policy for the inter... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TNNLS.2017.2693205 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Interconnected systems,Heuristic algorithms,Algorithm design and analysis,Artificial neural networks,Nonlinear dynamical systems,Observers,Optimal control | Affine transformation,Lyapunov function,Mathematical optimization,Control theory,Nonlinear system,Optimal control,Control theory,Computer science,Bellman equation,Artificial neural network,Observer (quantum physics) | Journal |
Volume | Issue | ISSN |
29 | 7 | 2162-237X |
Citations | PageRank | References |
6 | 0.41 | 18 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
vignesh narayanan | 1 | 29 | 3.77 |
Sarangapani Jagannathan | 2 | 1136 | 94.89 |