Neelam Verma & Sudarshan K. Valluru. (2023) ANN Based ANFIS controller Design Using Hybrid Meta-Heuristic Tuning Approach for Cart Inverted Pendulum System. Multimedia Tools and Applications.
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Zhencai Xing & Huadong Yong. (2021) Nonlinear dynamic behaviors and PID control of viscoelastic dielectric elastomer balloons. Journal of Intelligent Material Systems and Structures 33:11, pages 1449-1464.
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Nurhan Gürsel Özmen & Musa Marul. (2021)
Stabilization and tracking control of an
x
-
z
type inverted pendulum system using Lightning Search Algorithm tuned nonlinear PID controller
. Robotica 40:7, pages 2428-2448.
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Sudarshan K. Valluru & Hitesh Thareia. (2022) Maneuvering Control of Autonomous Underwater Vehicle (AUV) by Simulated Annealing and Moth Flame Optimization Tuned Controllers. Maneuvering Control of Autonomous Underwater Vehicle (AUV) by Simulated Annealing and Moth Flame Optimization Tuned Controllers.
Naser Padar, Mohammad Javad Mirzaei & Amir Abolfazl Suratgar. (2022) Adaptive TSK Fuzzy Terminal Sliding-Mode Control of Two Coupled Cart-Mounted Inverted Pendulums. Adaptive TSK Fuzzy Terminal Sliding-Mode Control of Two Coupled Cart-Mounted Inverted Pendulums.
Sudarshan K. Valluru, Rajul Kumar & Rahul Kumar. (2020) Design and Real Time implementation of fmincon, MOGA tuned IO-PID and FO-PID Controllers for Stabilization of TRMS. Procedia Computer Science 171, pages 1241-1250.
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Sudarshan K. Valluru & Madhusudan Singh. (2020) Optimization Strategy of Bio-Inspired Metaheuristic Algorithms Tuned PID Controller for PMBDC Actuated Robotic Manipulator. Procedia Computer Science 171, pages 2040-2049.
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Sudarshan K. Valluru, Manpreet Kaur, Kumar Kartikeya, Arnav Goel & Daksh Dobhal. (2020) Experimental Investigation of Fully Informed Particle Swarm Optimization tuned Multi Loop L-PID and NL-PID Controllers for Gantry Crane System. Procedia Computer Science 171, pages 130-138.
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Sudarshan K. Valluru, Madhusudan Singh, Daksh Dobhal, Kumar Kartikeya, Manpreet Kaur & Arnav Goel. 2020. Intelligent Communication, Control and Devices. Intelligent Communication, Control and Devices
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597
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Md. Shah Alam & Sharmistha Mandal. 2020. Intelligent Techniques and Applications in Science and Technology. Intelligent Techniques and Applications in Science and Technology
420
428
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Sudarshan K. Valluru, Rajul Kumar & Rahul Kumar. (2019) Design and Implementation of L-PID and IO-PID Controllers for Twin Rotor MIMO System. Design and Implementation of L-PID and IO-PID Controllers for Twin Rotor MIMO System.
Sudarshan K. Valluru, Rajul Kumar & Ayush. (2019) Trajectory Tracking Control of TRMS using FO-PID and FOI-PD Controllers: An Experiment. Trajectory Tracking Control of TRMS using FO-PID and FOI-PD Controllers: An Experiment.
Sandeep Hanwate, Yogesh V Hote & Akshit Budhraja. (2018) Design and implementation of adaptive control logic for cart-inverted pendulum system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233:2, pages 164-178.
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Sudarshan K.Valluru & Madhusudan Singh. (2018) Multi-Objective Genetic and Adaptive Particle Swarm Optimization Algorithms: A Performance Analysis with Benchmark functions. Multi-Objective Genetic and Adaptive Particle Swarm Optimization Algorithms: A Performance Analysis with Benchmark functions.
Sudarshan K. Valluru, Madhusudan Singh, Arnav Goel, Manpreet Kaur, Daksh Dobhal, Kumar Kartikeya, Aditya Verma & Anshul Gupta. (2018) Design of Multi-Loop L-PID and NL-PID Controllers: An Experimental Validation. Design of Multi-Loop L-PID and NL-PID Controllers: An Experimental Validation.
Sudarshan K Valluru, Madhusudan Singh & Mayank Singh. (2018) Application of Linear Quadratic Methods to Stabilize Cart Inverted Pendulum Systems. Application of Linear Quadratic Methods to Stabilize Cart Inverted Pendulum Systems.
Sudarshan K. Valluru, Madhusudan Singh, Mayank Singh & Vanshaj Khattar. (2018) Experimental Validation of PID and LQR Control Techniques for Stabilization of Cart Inverted Pendulum System. Experimental Validation of PID and LQR Control Techniques for Stabilization of Cart Inverted Pendulum System.