Abstract
Novel distributed supervisory strategies for multi-agent linear systems connected via data networks and subject to coordination constraints are presented in this paper. Such a coordination-by-constraint paradigm is based on the online management of the prescribed set points and it is characterized by a set of spatially distributed dynamic systems, connected via communication channels, with possibly dynamical coupling amongst them which need to be supervised and coordinated in order to accomplish their overall objective. Two distributed strategies will be fully described and analysed. First, a “sequential” distributed strategy will be presented where only one agent per decision time is allowed to manipulate its own reference signal. Such a strategy will be instrumental to introduce a more effective “parallel” distributed strategy, in which all agents are allowed, under certain conditions, to modify their own reference signals simultaneously. Finally, some cases of study will be presented to show the effectiveness of the proposed methods.
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References
Bertsekas, D.P.: Separable dynamic programming and approximate decomposition methods. IEEE Trans. Autom. Control 52, 911–916 (2007)
Casavola, A., Papini, M., Franzè, G.: Supervision of networked dynamical systems under coordination constraints. IEEE Trans. Autom. Control 51(3), 421–437 (2006)
Casavola A., Garone E., Tedesco F.: A liveliness analysis of a distributed constrained coordination strategy for multi-agent linear systems. In: CDC 2011, Orlando, USA (2011)
Casavola A., Garone E., Tedesco F.: Distributed reference management strategies for a networked water distribution system. In: IFAC 2011, Milan, Italy (2011)
Casavola A., Garone E., Tedesco F.: Distributed coordination-by-constraint strategies for multi-agent networked systems. In: CDC 2011, Orlando, USA (2011)
Casavola, A., Garone, E., Tedesco, F.: Improved feed-forward command governor strategies for constrained discrete-time linear systems. IEEE Trans. Autom. Control 59(1), 832–852 (2014)
Casavola, A., Garone, E., Tedesco, F.: A distributed multi-agent command governor strategy for the coordination of networked interconnected systems. IEEE Trans. Autom. Control 59(8), 2099–2112 (2014)
Casavola, A., Mosca, E., Angeli, D.: Robust command governors for constrained linear systems. IEEE Trans. Autom. Control 45, 2071–2077 (2000)
Dunbar, W.B., Desa, S.: Distributed model predictive control for dynamic supply chain management, pp. 26–30. International Workshop on NMPC, Freudenstadt-Lauterbad, Germany (2005)
Dunbar, W.B.: Distributed receding horizon of dynamically coupled nonlinear systems. IEEE Trans. Autom. Control 52(7), 1249–1263 (2007)
Keviczky T.: Decentralized receding horizon control of large scale dynamically decoupled systems. Ph.D. Thesis, University of Minnesota, USA (2005)
Garone E., Tedesco F., Casavola A.: Distributed coordination strategies for interconnected multi-agent systems. In: 8th IFAC NOLCOS, 403–408, Bologna, Italy (2010)
Garone, E., Tedesco, F., Casavola, A.: Sensorless supervision of LTI dynamical sytems: the feed forward command governor. Automatica 47(7), 1294–1303 (2011)
Gilbert, E.G., Kolmanovsky, I., Tan, K.T.: Discrete-time reference governors and the nonlinear control of systems with state and control constraints. Int. J. Robust Nonlinear Control 5, 487–504 (1995)
Ibraheem, K., Kothari, D.P.: Recent philosophies of automatic generation control strategies in power systems. IEEE Trans. Power Syst. 20(1) (2005)
Tedesco, F., Casavola, A.: Fault-tolerant distributed load/frequency supervisory strategies for networked multiarea microgrids. Int. J. Robust Nonlinear Control 24(8–9), 1380–1402 (2014)
Tedesco F., Raimondo D.M., Casavola A., Lygeros J.: Distributed collision avoidance for interacting vehicles: a command governor approach. In: 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys 10), Annecy, France (2010)
Tedesco F., Casavola A., Garone E: A parallel distributed coordination-by-constraint strategy for multi-agent networked systems. In: CDC 2012, Maui Hawaii, USA, Dec 2012
Tedesco, F., Raimondo, D.M., Casavola, A.: Collision avoidance command governor for multivehicle unmanned systems. Int. J. Robust Nonlinear Control 24(16), 2309–2330 (2004)
Venkat A.N.: Distributed model predictive control: theory and applications. Ph.D. Thesis, University of Wisconsin, USA (2006)
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Casavola, A., Garone, E., Tedesco, F. (2016). Distributed Supervisory Strategies for Multi-agent Networked Systems. In: Dimirovski, G. (eds) Complex Systems. Studies in Systems, Decision and Control, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-319-28860-4_19
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DOI: https://doi.org/10.1007/978-3-319-28860-4_19
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