Vishal Srivastava

Papers

Total Citations

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About

Vishal Srivastava’s research lies at the intersection of control engineering and computational intelligence, with a primary focus on developing optimization-driven controllers for complex nonlinear systems. His most significant contribution is the application of the Whale Optimization Algorithm (WOA)—a nature-inspired metaheuristic—to tune PID controller parameters for benchmark nonlinear systems such as inverted pendulums and robotic arm manipulators. His 2019 paper on this topic, which has garnered 11 citations, demonstrates how WOA can efficiently optimize gain parameters to improve system stability and performance, offering a robust alternative to traditional tuning methods. Srivastava’s work extends to comparative studies of swarm-based and human-based optimization algorithms, as seen in his 2021 paper (2 citations), where he evaluates techniques for controlling ball-and-beam systems. While one of his papers was later retracted, his core research continues to influence the field of intelligent control, providing practical tools for engineers tackling real-world nonlinear dynamics. His contributions are particularly valuable for students and researchers exploring bio-inspired algorithms in automation and robotics.