World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
39
Citations
6603
World Ranking
2112
National Ranking
779

Electronics and Electrical Engineering

D-Index
39
Citations
6640
World Ranking
4683
National Ranking
1647

Overview

S. N. Balakrishnan is affiliated with the Missouri University of Science and Technology in the United States. Their research spans multiple domains within computer science and engineering, with a particular focus on control systems and artificial intelligence.

The scientist has contributed to several subfields, including:

  • Control and Systems Engineering
  • Artificial Intelligence
  • Aerospace Engineering
  • Computational Theory and Mathematics
  • Computer Networks and Communications

The research themes of Balakrishnan cover a range of topics centered on control methodologies, quantum information sciences, and distributed systems. Key areas of work include:

  • Adaptive Control of Nonlinear Systems
  • Adaptive Dynamic Programming Control
  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Guidance and Control Systems
  • Distributed Control Multi-Agent Systems
  • Spectroscopy and Quantum Chemical Studies

The scientist has published in a variety of venues with a presence in conferences, journals, and preprint repositories. Frequent publication platforms feature:

  • arXiv (Cornell University)
  • AIAA Scitech 2021 Forum
  • Entropy
  • AIAA SCITECH 2022 Forum
  • INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

Notable recent publications include:

  • Application of Quantum-Markov Open System Models to Human Cognition and Decision, 2020, Entropy
  • Design and Analysis of Event-Triggered Neuro-Adaptive Controller (ETNAC) for Uncertain Systems, 2020, Journal of the Franklin Institute
  • Adaptive Control of Uncertain Dynamical Systems with an Optimal Nonlinear Reference Model, 2022, AIAA SCITECH 2022 Forum
  • Strategic Mitigation of Agent Inattention in Drivers with Open-Quantum Cognition Models, 2021, arXiv (Cornell University)
  • Automated Price Comparison and Tracking System, 2025, INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

Collaborations form a significant part of their research output. Frequent coauthors are:

  • Jerome R. Busemeyer
  • Qizi Zhang
  • Venkata Sriram Siddhardh Nadendla
  • Jie Yao
  • Prabhakar Maheswari

Best Publications

  • Cooperative UAV Formation Flying With Obstacle/Collision Avoidance

    Xiaohua Wang;V. Yadav;S.N. Balakrishnan

  • Impact Time and Angle Guidance With Sliding Mode Control

    Nathan Harl;S. N. Balakrishnan

  • Adaptive-critic based neural networks for aircraft optimal control

    S. N. Balakrishnan;Victor Biega

  • Finite-Horizon Control-Constrained Nonlinear Optimal Control Using Single Network Adaptive Critics

    A. Heydari;S. N. Balakrishnan

  • Integrated Guidance and Control of Missiles With $theta hbox - D$ Method

    Ming Xin;S.N. Balakrishnan;E.J. Ohlmeyer

  • A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems

    Radhakant Padhi;Nishant Unnikrishnan;Xiaohua Wang;S. N. Balakrishnan

  • A new method for suboptimal control of a class of non‐linear systems

    Ming Xin;S. N. Balakrishnan

  • Issues on Stability of ADP Feedback Controllers for Dynamical Systems

    S.N. Balakrishnan;Jie Ding;F.L. Lewis

  • State-constrained agile missile control with adaptive-critic-based neural networks

    Dongchen Han;S.N. Balakrishnan

  • Convergence analysis of adaptive critic based optimal control

    Xin Liu;S.N. Balakrishnan

  • Modified Command to Line-of-Sight Intercept Guidance for Aircraft Defense

    Takeshi Yamasaki;S. N. Balakrishnan;Hiroyuki Takano

  • Nonlinear Missile Autopilot Design with Theta-D Technique

    Ming Xin;S. N. Balakrishnan;Donald T. Stansbery;Ernest J. Ohlmeyer

  • Reentry Terminal Guidance Through Sliding Mode Control

    Nathan Harl;S. N. Balakrishnan

  • Integrated Guidance and Control of Missiles with Θ-D Method

    Ming Xin;S.N. Balakrishnan;Ernest J. Ohlmeyer

  • A new method for suboptimal control of a class of nonlinear systems

    Ming Xin;S.N. Balakrishnan

  • Adaptive-critic based optimal neuro control synthesis for distributed parameter systems

    Radhakant Padhi;S. N. Balakrishnan;Timothy Randolph

  • Path Planning Using a Novel Finite Horizon Suboptimal Controller

    Ali Heydari;S. N. Balakrishnan

  • Triangle Intercept Guidance for Aerial Defense

    Takeshi Yamasaki;S. N. Balakrishnan

  • Optimal Switching and Control of Nonlinear Switching Systems Using Approximate Dynamic Programming

    Ali Heydari;Sivasubramanya N. Balakrishnan

  • Proper orthogonal decomposition based optimal neurocontrol synthesis of a chemical reactor process using approximate dynamic programming

    Radhakant Padhi;S. N. Balakrishnan

Frequent Co-Authors

Ming Xin
Ming Xin University of Missouri
Robert G. Landers
Robert G. Landers Missouri University of Science and Technology
Jerome R. Busemeyer
Jerome R. Busemeyer Indiana University
Jason L. Speyer
Jason L. Speyer University of California, Los Angeles
Frank W. Liou
Frank W. Liou Missouri University of Science and Technology
Byron D Tapley
Byron D Tapley The University of Texas at Austin
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Sarangapani Jagannathan
Sarangapani Jagannathan Missouri University of Science and Technology
V Kumar
V Kumar Brock University

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