Distributed control design for spatially interconnected systems

By Raffaello D'Andrea, Geir E. Dullerud. IEEE Transactions on Automatic Control, 2003

862 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/4ccae5e3f1c682ee9a83a4ea491b0410b54097e2

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Citations in the corpus

Urban traffic signal control with connected and automated vehicles: A survey (2019, methodology): “For example, the decomposition approach for identical dynamically coupled sub-systems (Massioni and Verhaegen, 2009), the distributed control design principles for spatially interconnected systems (D'Andrea and Dullerud, 2003), and the distributed model predictive control and stability analysis tech”
Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective (2009, background): “There is an active research effort underway in the control and dynamical systems community to study these systems and lay out a foundation for their analysis and synthesis [6, 7, 9, 26].”
A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems (2017, background): “Great effort has been devoted to investigating this highly complex problem for special types of systems, including spatially distributed systems [147]–[151], dynamically decoupled systems [152], [153], weakly coupled systems [154], and strongly connected systems [155].”
Decentralized receding horizon control for large scale dynamically decoupled systems (2009, background): “Dynamically coupled systems have been the most studied [6, 8, 23, 25, 26].”
Distributed LQR Design for Identical Dynamically Decoupled Systems (2008, background): “Over the past few years, there has been a renewal of interest in systems composed of a large number of interacting and cooperating interconnected units [2]–[20].”
Robust constrained model predictive control (2005, background): “[62], investigating robust stability of the interconnections of systems with local controllers.”
Materials that couple sensing, actuation, computation, and communication (2015, background): “Despite the large body of work on the control of large-scale distributed systems, many of which are relevant to the control of robotic materials (93, 94), only a few of these approaches have been explored experimentally owing to the absence of systems that provide access to thousands of sensors and ”
Communication constraints in the average consensus problem (2008, background): “Key words: Consensus, Multi-agent Coordination, Convergence Rate, Logarithmic Quantization, Random Networks, Mixing Rate of Markov Chains”
Decentralized control: An overview (2008, background): “Delay free systems are considered in Hovd and Skogestad (1994), Liu and Zhang (1999), Xiaoping (1992), Huang, Lam, Yang, and Zhang (1999), and Wang and Zhang (2000). Regional pole assignment by state feedback proposed Liu, Jing and Zheng (2006).”
Distributed Collaborative Control for Industrial Automation With Wireless Sensor and Actuator Networks (2010, background): “no centralized unit is assumed and control decisions are made by distributed controllers/agents or even by distributed actuators [23], [24].”
Ltd Registered in England and Wales Registered Number : 1072954 Registered office : (2004, background): “Note also that these processes share many joint features with the so-called spatially interconnected systems, which have already found numerous important physical applications; see, for example, D’Andrea and Dullerud (2003) and references therein.”
An H/sub /spl infin// approach to networked control (2005, background): “However, we believe that recent results on distributed control [12] can be extended to jump systems.”