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A Stochastic Distributed Control Allocation Method Using Probability Collectives
(2016-12-08)
The configuration of the aerospace vehicle of tomorrow marches forward in complexity in step with technological advances in computation, materials, propulsion, and beyond. One of many attributes resulting from this evolution ...
Distributed Optimal Policies for Multi-Agent Systems under Uncertainties
(2020-05-14)
Multi-agent systems (MAS) have attracted increasing attention in the past years due to their wide applications in mobile robots, sensor networks, autonomous driving systems, etc. Along with this trend, developing ...
AUTONOMOUS AERIAL VEHICLES DISTRIBUTED CONTROL AND INTERACTIVE GAMES
(2022-04-05)
As the number of quadrotors and other Unmanned Aerial Vehicles (UAVs) increases in industrial and urban areas, the development of reliable engineering methods to control their behavior as they interact with each other ...
Distributed Resilient Control of Multi-agent Systems with Applications to Microgrids
(2020-08-03)
Distributed cooperative control of multi-agent systems (MAS) has been an active research area over the last few decades. Distributed cooperative controller is locally designed using the neighborhood relative information. ...
SET-THEORETIC FRAMEWORKS FOR ONLINE OPTIMIZATION, ESTIMATION, AND CONTROL
(2021-08-10)
This research is primarily focused on developing online frameworks, which are suited to real-time implementation, for performance optimization, estimation, and control of dynamical systems using set-theoretic concepts ...
UNCERTAINTY PROPAGATION, CONTROL, AND ESTIMATION OF STOCHASTIC DYNAMIC SYSTEMS USING GENERALIZED POLYNOMIAL CHAOS EXPANSION
(2021-08-10)
In recent years, uncertainty propagation has emerged as an important research area in the field of dynamical systems. The growing interest in this area arises out of the need to develop computationally efficient approaches ...
The Estimation and Control of Multi-agent Systems in Stochastic Spatiotemporal Environment
(2020-11-18)
Multi-agent systems (MAS) are ubiquitous in modern systems applications. Because of their improved capabilities over single-agent systems in terms of robustness and efficiency, MAS have found broad applications in autonomous ...