Nonlinear dynamical systems and control for large-scale, hybrid, and network systems

Network systems;Stability theory;Cooperative control;Hybrid control;Consensus protocols;Nonlinear systems;Dynamical systems;Hybrid systems;Large-scale systems

Hui, Qing ; Aerospace Engineering

University:Georgia Institute of Technology

Department:Aerospace Engineering

关键词: Network systems;    Stability theory;    Cooperative control;    Hybrid control;    Consensus protocols;    Nonlinear systems;    Dynamical systems;    Hybrid systems;    Large-scale systems;   

Others  :  https://smartech.gatech.edu/bitstream/1853/24635/1/hui_qing_200808_phd.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

In this dissertation, we present several main research thrusts involving thermodynamic stabilization via energy dissipating hybrid controllers and nonlinear control of network systems. Specifically, a novel class of fixed-order, energy-based hybrid controllers is presented as a means for achieving enhanced energydissipation in Euler-Lagrange, lossless, and dissipative dynamical systems. These dynamic controllers combine a logical switchingarchitecture with continuous dynamics to guarantee that the system plant energy is strictly decreasing across switching. In addition, we construct hybrid dynamic controllers that guarantee that the closed-loop system isconsistent with basic thermodynamic principles. In particular, the existence of an entropy function for the closed-loop system is establishedthat satisfies a hybrid Clausius-type inequality. Special cases of energy-based hybrid controllers involving state-dependent switching aredescribed, and the framework is applied to aerospace system models. The overall framework demonstrates that energy-based hybrid resettingcontrollers provide an extremely efficient mechanism for dissipating energy in nonlinear dynamical systems. Next, we present finite-time coordination controllers for multiagent network systems. Recent technological advances incommunications and computation have spurred a broad interest in autonomous, adaptable vehicle formations. Distributed decision-making forcoordination of networks of dynamic agents addresses a broad area of applications including cooperative control of unmanned air vehicles,microsatellite clusters, mobile robotics, and congestion control in communication networks. In this part of the dissertation we focus onfinite-time consensus protocols for networks of dynamic agents with undirected information flow. The proposed controller architectures are predicatedon the recently developed notion of system thermodynamics resulting in thermodynamically consistent continuous controller architectures involving the exchange of information between agents that guarantee that the closed-loop dynamical network isconsistent with basic thermodynamic principles.