S
Sivasubramanya N. Balakrishnan
Researcher at Missouri University of Science and Technology
Publications - 265
Citations - 5261
Sivasubramanya N. Balakrishnan is an academic researcher from Missouri University of Science and Technology. The author has contributed to research in topics: Optimal control & Control theory. The author has an hindex of 34, co-authored 264 publications receiving 4794 citations. Previous affiliations of Sivasubramanya N. Balakrishnan include University of Texas at Austin & University of Missouri.
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Cooperative UAV Formation Flying With Obstacle/Collision Avoidance
TL;DR: In this article, a dual-mode control strategy for UAVs flying in a formation in a free and an obstacle-laden environment is proposed, where a safe mode is defined as an operation in an obstacle free environment and a dangerous mode is activated when there is a chance of collision or when there are obstacles in the path.
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Impact Time and Angle Guidance With Sliding Mode Control
TL;DR: A novel sliding mode-based impact time and angle guidance law for engaging a modern warfare ship is presented and can be applied to many realistic engagement scenarios which include uncertainties such as target motion.
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Adaptive-critic based neural networks for aircraft optimal control
TL;DR: A dual neural network architecture for the solution of aircraft control problems is presented and results show that this network architecture yields optimal control over the entire range of training, so that the neural network can function as an autopilot.
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Finite-Horizon Control-Constrained Nonlinear Optimal Control Using Single Network Adaptive Critics
TL;DR: To synthesize fixed-final-time control-constrained optimal controllers for discrete-time nonlinear control-affine systems, a single neural network (NN)-based controller called the Finite-horizon Single Network Adaptive Critic is developed in this paper.
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A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems
TL;DR: An improvement to the AC architecture, called the "Single Network Adaptive Critic (SNAC)," is presented, which is applicable to a wide class of nonlinear systems where the optimal control (stationary) equation can be explicitly expressed in terms of the state and costate variables.