Decentralized control of complex systems

By Dragoslav D. Siljak. 2012

957 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a9aff5f9b0e8ac6e1a4861755a5cf55ebb8e13ae

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Citations in the corpus

Distributed model predictive control: A tutorial review and future research directions (2013, unknown): “While there are some important reviews on decentralized control (e.g., Bakule, 2008; Sandell, Varajya, Athans, & Safonov, 1978; Siljak, 1991; Siljak & Zecević, 2005), in this section we focus on results pertaining to decentralized MPC.”
Small gain theorems for large scale systems and construction of ISS Lyapunov functions (2009, methodology): “In [26] the notions of connective stability and stabilization are introduced for interconnections of linear systems using the concept of vector Lyapunov functions.”
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach (2017, background): “Decentralized control has long been studied within the system theory literature, e.g. [Lunze, 1992, Siljak, 2011].”
Cyber–Physical Systems: A Perspective at the Centennial (2012, background): “This led to a very strong foundation of systems theory, with a thorough investigation of optimal control [28], stability [29], linear systems [30], nonlinear control [31], stochastic systems [32], adaptive control [33], robust control [34], infinite-dimensional systems [35], decentralized control of”
Time‐delayed dynamic output feedback ℋ︁∞ controller design for civil structures: A decentralized approach through homotopic transformation (2011, background): “Copyright r 2009 John Wiley & Sons, Ltd. Received 21 November 2008; Revised 26 February 2009; Accepted 4 May 2009 KEYWORDS: structural control; feedback time delay; decentralized control; H-infinity control; homotopy method; linear matrix inequality”
Decentralized Parameter Estimation by Consensus Based Stochastic Approximation (2007, unknown): “, m (see [Šiljak, 1991]), and (b) fourth moments are finite, so that it is possible to find such an mn × mn matrix B̄, ‖B̄‖ < ∞, that E{Φ(t)Φ(t)T UΦ(t)Φ(t) } ≤ B̄UB̄ for any symmetric mn×mn matrix U ≥ 0 (for symmetric positive semidefinite matrices A and B, A ≥ B means that A − B is positive”
A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems (2017, background): “The area of decentralized control has been created to address the challenges arising in the control of complex networks and large-scale systems [140]–[143].”