AUTONOMY, COMPLEXITY, NEUROCONTROL, AND THERMODYNAMICS IN LARGE-SCALE AEROSPACE DYNAMICAL SYSTEMS
Abstract
In this research, we propose to draw from the fundamental principles of dynamical thermodynamics and neuroscience to develop a unified hybrid dynamical system and control framework for nonlinear large-scale aerospace dynamical systems. In particular, neuroinspired control algorithms will be developed to address agent interactions, cooperative and non-cooperative control, task assignments, and resource allocations. To realize these tasks, appropriate sensory and cogitative capabilities such as adaptation, learning, decision-making, and agreement (or consensus) on the agent and multiagent levels will be developed. In addition, we will focus on disturbance rejection and robustness for addressing communication/sensor noise and model uncertainties, as well as synchronism, system time-delays, and switching network topologies for addressing information asynchrony between agents, message transmission and processing delays, and communication link failures and communication dropouts.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2021
- Source ID
- FA95502010038
Entities
People
- Wassim M. Haddad
Organizations
- Air Force Office of Scientific Research
- Georgia Tech Research Corporation
- United States Air Force