Engineering, Electrical and Electronic Engineering, Control and Systems Engineering
14
Scopus Publications
84
Scholar Citations
5
Scholar h-index
3
Scholar i10-index
Scopus Publications
Sliding mode control based generalized technique for synchronization of identical and non-identical chaotic systems in presence of input nonlinearities Pallav, Himesh Handa, Bharat Bhushan Sharma JVC Journal of Vibration and Control, 2026 Systems with chaotic underlying structures exhibit a high sensitivity to both initial conditions and parameter values, leading to dynamic behaviors that are challenging to predict and analyze. This paper investigates a direct way to address synchronization issues in master-slave setups, with a special emphasis on chaotic or hyperchaotic systems. The approach takes into account the effects of input nonlinearities in order to successfully address the synchronization problem. A synchronization controller which takes into account input nonlinearities is formulated by employing the sliding mode control approach. The paper introduces a generalized approach for synchronizing chaotic systems, applicable to both identical and non-identical systems, even in the presence of input nonlinearities. The Lyapunov stability principle is used to develop a nonlinear controller and to define general adequate conditions that guarantee synchronization even when input nonlinearities are present. The paper includes a detailed analysis of the systems’ dynamic behaviors, supported by Lyapunov and bifurcation diagrams. Furthermore, numerical simulations are included to confirm and reinforce the theoretical conclusions presented in the paper.
Hybrid grey Wolf–Cuckoo search optimized linear quadratic regulator for robust quadrotor control Renu Sharma, Vineet Kumar, Pallav, Vineet Kumar Scientific Reports, 2025 Accurate position and altitude control of quadrotor Unmanned Aerial Vehicles (UAVs) is essential for mission-critical applications such as surveillance, defense, and autonomous delivery. This study introduces an innovative control framework that integrates a Linear Quadratic Regulator (LQR) with a hybrid Grey Wolf Optimizer-Cuckoo Search (GWO-CS) algorithm for optimal gain tuning. The innovation lies in combining GWO's global exploration with CS's local exploitation, ensuring faster convergence and higher-quality tuning of LQR weighting matrices. A comprehensive nonlinear dynamic model of the quadrotor was developed using the Newton-Euler formalism, and the LQR-GWO-CS controller was implemented in a simulated environment. Comparative analysis reveals that the proposed controller achieves significant improvements. For the X-axis, the settling time is reduced from 4.08 s (LQR) and 7.36 s (LQR-GWO) to 1.70 s with zero overshoot, while the Integral Absolute Error (IAE) improves by approximately 39% compared to the conventional LQR. For the Y-axis, the proposed method reduced the IAE from 1.16 (LQR) to 0.70 with a settling time of 1.64 s and zero overshoot, outperforming LQR-WOA, which exhibited 4.2% overshoot. In altitude (Z-axis) control, the proposed controller limited overshoot to 2.0% while reducing settling time from 4.27 s (LQR) to 1.96 s, with lower IAE than both LQR and LQR-WOA. Robustness was further demonstrated under external disturbances and validated through real-time Hardware-in-the-Loop testing on OPAL-RT (Operational and Automation Platform for Real-Time applications), confirming feasibility for practical UAV missions. Overall, the LQR-GWO-CS framework outperforms state-of-the-art controllers, offering a quantitatively validated, robust, and efficient solution for UAV operation in dynamic and uncertain environments.
Stabilizing the Memristive Liu System Using PI-Based Sliding Mode Control: Implications for Autonomous Vehicle Dynamics Pallav, Rani Kumari 2025 IEEE 4th International Conference on Smart Technologies for Power Energy and Control Stpec 2025 Conference Report, 2025 In modern years, there has been a rising focus in the study of chaotic systems, predominantly in exploring methods to stabilize their unpredictable behavior. Chaos theory, known for its ability to describe the dynamics of highly complex and nonlinear systems, has emerged as a valuable tool in modeling real-world phenomena such as traffic flow where irregular and sudden changes are common. This work explores the stabilization of a memristive Liu system as a conceptual analog for modeling the complex and unpredictable dynamics of urban traffic flow. By applying PI-based sliding mode control (PI-SMC), the chaotic dynamics are stabilized in simulation, providing insights into robust control strategies for autonomous vehicles navigating uncertain and nonlinear traffic environments. This approach bridges chaos theory and adaptive vehicle control, offering a foundation for future advancement of intelligent transport systems competent of handling practical-world traffic complexities.
Stabilization and synchronization of Chen–Lee chaotic system using sliding mode control approach Pallav, Himesh Handa, Sumit Sharma Artificial Intelligence and Machine Learning Applications for Sustainable Development, 2025 There has been an interesting focus on studying chaotic systems, accompanied by a heightened focus on understanding the associated stabilization and synchronization phenomena. This surge in attention has significantly expanded the scope of research within this field. The chapter presents an innovative method for stabilizing and attaining synchronization in the Chen–Lee chaotic system through the implementation of a sliding mode control approach. In the initial phase, there is a focus on identifying and formulating an appropriate proportional-integral (PI) switching surface. The precise selection of PI parameters becomes pivotal for attaining the desired stability and synchronization performance. Leveraging the defined sliding surface, a control strategy based on the sliding mode principle is subsequently developed. This controller is specifically designed to induce sliding motion, employing a robust control strategy that ensures the system trajectories remain on a predefined sliding surface. This characteristic holds significant importance in establishing stability within the Chen–Lee chaotic systems when arranged as master and slave. The utilization of Lyapunov stability theory becomes instrumental in accomplishing the intended goal. Synchronization is realized through the collaborative operation of the sliding mode controller, guaranteeing the convergence of trajectories between the master and slave systems, thereby maintaining a consistent behaviour. Artificial intelligence (AI) and machine learning (ML) frequently entail creating control systems to manage and stabilize processes. The sliding mode control method detailed in the chapter offers a means to regulate chaotic systems, presenting potential applications across various AI domains where stability and precise control play pivotal roles. Empirical evidence supporting the efficacy of the suggested control strategy is substantiated through numerical simulations, affirming its potential for application in controlling and synchronizing chaotic systems.
PI Sliding Mode Control and Active Control Based Stabilization Scheme for a Chaotic System having Single Stable Equilibrium and its Circuit Implementation Akshay Kumar, Himesh Handa, Pallav 2024 5th International Conference for Emerging Technology Incet 2024, 2024 This paper presents Sliding Mode Control (SMC) and Active Control technique for stabilizing a new three-dimensional chaotic system characterized by a single stable equilibrium. Appropriate Proportional-Integral (PI) switching surfaces are selected for designing sliding mode controllers, such that the sliding motion occurs and stabilization of the system is ensured. Lyapunov stability theory is utilized to design and guarantee the stability of switching surfaces and controllers. Additionally, analog circuit design and simulation are conducted in MULTISIM, using off-the-shelf analog components. Numerical simulations using MATLAB have been conducted to validate the effectiveness of the proposed stabilization strategies and their corresponding circuits.
Novel Single Bounded Input Control Synchronization Criterion for a Category of Hyperchaotic and Chaotic Systems in Presence of Uncertainties Pallav, Himesh Handa, B. B. Sharma Journal of Computational and Nonlinear Dynamics, 2023 Dynamical systems that have a chaotic underlying structure have a sensitive dependency on the initial conditions and the values of their parameters. In this piece of work, a straightforward method for solving the synchronization issue in master–slave arrangement for a category of chaotic or hyperchaotic systems, in which perturbations are present in the parameters of the response system, is discussed. The desired control signal is bounded by the initial state when the controller is activated. There is just one control input that is used, and it is derived from Lyapunov's concept of stability. In general, it is tricky to synchronize hyperchaotic or chaotic systems with single controller, and the work turns out to be significantly more complex when the parameters of the slave system are perturbed. The feedback controller using single input that has been constructed makes certain that the state variables of the response system are in synchronization with the state variables that correspond to them in the drive system. In order to attain the desired level of synchronization, the required conditions that must be satisfied to do so have been identified utilizing Lyapunov's stability analysis in a simple manner. In addition, numerical illustrations have been provided in order to support and confirm the theoretical findings of the paper.
Projective synchronization for a new class of chaotic/hyperchaotic systems with and without parametric uncertainty Nisha Yadav, Pallav, Himesh Handa Transactions of the Institute of Measurement and Control, 2023 The term “chaotic system” refers to a kind of dynamical system that is characterized by its extreme sensitivity to its initial conditions. The ability of such dynamical systems to maintain synchronization is one of the extremely crucial features of these systems. There is an increasing fascination in chaotic systems with real-state variables, and they are being discovered as well as explored in greater depth in a variety of areas of nonlinear science. In this manuscript, a mixture of active nonlinear control scheme as well as adaptive control scheme has been recommended to investigate the full-order and reduced-order projective synchronization for a unique class of chaotic and hyperchaotic systems with as well as without uncertain parameters. Active nonlinear control technique is an effective method, which has been extensively used to synchronize two chaotic systems in master–slave configuration when parameters of the systems under consideration are fully known in advance. However, in practical scenarios, system parameters are not exactly known in advance. This often occurs due to the factors such as limitations associated with the experimental conditions, mutual interference among system components or due to the influence of external environmental factors. Therefore, in such cases, the designer has to go for the adaptive control technique to develop the adaptation control laws for unknown system parameters. Adaptive active nonlinear controller and parameter adaptation laws have been introduced here using Lyapunov stability criteria to confirm that the error dynamics of the synchronizing chaotic systems become asymptotic stable. Furthermore, numerical simulations on Lorenz hyperchaotic fourth-order system and Pehlivan chaotic third-order system are shown to demonstrate that the proposed synchronization scheme is working effectively.
Simple Synchronization Scheme for a Class of Nonlinear Chaotic Systems Using a Single Input Control Pallav, Himesh Handa IETE Journal of Research, 2023 An increasing concern in the analysis of chaotic and hyperchaotic systems, as well as the phenomena of synchronization connected with them, has brought a boom in the field of nonlinear dynamics. The present work discusses a generic approach to the synchronization challenges in a drive-response setup for a class of nonlinear chaotic as well as hyperchaotic systems. Generally, it is difficult to synchronize chaotic systems using a single input control and it becomes much more difficult in case of higher dimensional chaotic/hyperchaotic systems. In the present manuscript, a single input control on the basis of Lyapunov’s stability theorem is deployed to synchronize two chaotic/hyperchaotic systems in drive-response configuration. The single input feedback controller thus devised confirms that the state variables of the response system synchronize with the corresponding state variables of the drive system. Using Lyapunov’s stability analysis, required conditions have been derived so as to accomplish the task of synchronization in a simple manner. To verify the efficacy of the proposed control law, chaotic systems such as Lorenz-Stenflo hyperchaotic systems, Modified Lorenz-Stenflo chaotic systems and Lorenz chaotic systems have been considered. Finally, numerical simulations to validate the analytical results have been presented.
Hybrid grey Wolf–Cuckoo search optimized linear quadratic regulator for robust quadrotor control R Sharma, V Kumar, Pallav, V Kumar Scientific Reports 15 (1), 44843 , 2025 2025 Citations: 1
Stabilizing the Memristive Liu System Using PI-Based Sliding Mode Control: Implications for Autonomous Vehicle Dynamics Pallav, R Kumari 2025 IEEE 4th International Conference on Smart Technologies for Power … , 2025 2025
Adaptive sliding mode control for synchronizing chaotic systems under external disturbances and uncertainties: circuit implementation and analysis Pallav, H Handa Analog Integrated Circuits and Signal Processing 125 (2), 29 , 2025 2025 Citations: 2
Sliding mode control based generalized technique for synchronization of identical and non-identical chaotic systems in presence of input nonlinearities Pallav, H Handa, BB Sharma Journal of Vibration and Control, 10775463251331805 , 2025 2025 Citations: 3
Stabilization and synchronization of Chen–Lee chaotic system using sliding mode control approach Pallav, H Handa, S Sharma Artificial Intelligence and Machine Learning Applications for Sustainable … , 2025 2025 Citations: 1
PI Sliding Mode Control and Active Control Based Stabilization Scheme for a Chaotic System Having Single Stable Equilibrium and its Circuit Implementation A Kumar, H Handa, Pallav 2024 5th International Conference for Emerging Technology (INCET), 1-7 , 2024 2024 Citations: 3
Simple synchronization scheme for a class of nonlinear chaotic systems using a single input control Pallav, H Handa IETE Journal of Research 69 (12), 9094-9107 , 2023 2023 Citations: 6
Novel single bounded input control synchronization criterion for a category of hyperchaotic and chaotic systems in presence of uncertainties Pallav, H Handa, BB Sharma Journal of Computational and Nonlinear Dynamics 18 (12) , 2023 2023 Citations: 1
Stabilization of uncertain nonlinear chaotic system using pi smc Pallav, H Handa International Conference on Signal & Data Processing, 477-485 , 2023 2023 Citations: 3
Projective synchronization for a new class of chaotic/hyperchaotic systems with and without parametric uncertainty N Yadav, Pallav, H Handa Transactions of the Institute of Measurement and Control 45 (10), 1975-1985 , 2023 2023 Citations: 15
Synchronization of MLS Chaotic System Using Sliding Mode Control Technique Pallav, H Handa Soft Computing: Theories and Applications: Proceedings of SoCTA 2022, 335-346 , 2023 2023 Citations: 1
Chaos synchronization for a class of hyperchaotic systems using active SMC and PI SMC: a comparative analysis Pallav, H Handa Journal of Control, Automation and Electrical Systems 33 (6), 1671-1687 , 2022 2022 Citations: 8
Modeling and analysis of autonomous hybrid green microgrid system for the electrification of rural area S Sharma, YR Sood, A Maheshwari, Pallav Renewable Energy Systems: Modeling, Optimization and Applications, 167-190 , 2022 2022 Citations: 5
Active control synchronization of similar and dissimilar chaotic systems Pallav, H Handa 2021 innovations in power and advanced computing technologies (I-pact), 1-6 , 2021 2021 Citations: 11
PID control of magnetic levitation system based on derivative filter Pallav, SK Pandey, V Laxmi 2014 Annual International Conference on Emerging Research Areas: Magnetics … , 2014 2014 Citations: 24
MOST CITED SCHOLAR PUBLICATIONS
PID control of magnetic levitation system based on derivative filter Pallav, SK Pandey, V Laxmi 2014 Annual International Conference on Emerging Research Areas: Magnetics … , 2014 2014 Citations: 24
Projective synchronization for a new class of chaotic/hyperchaotic systems with and without parametric uncertainty N Yadav, Pallav, H Handa Transactions of the Institute of Measurement and Control 45 (10), 1975-1985 , 2023 2023 Citations: 15
Active control synchronization of similar and dissimilar chaotic systems Pallav, H Handa 2021 innovations in power and advanced computing technologies (I-pact), 1-6 , 2021 2021 Citations: 11
Chaos synchronization for a class of hyperchaotic systems using active SMC and PI SMC: a comparative analysis Pallav, H Handa Journal of Control, Automation and Electrical Systems 33 (6), 1671-1687 , 2022 2022 Citations: 8
Simple synchronization scheme for a class of nonlinear chaotic systems using a single input control Pallav, H Handa IETE Journal of Research 69 (12), 9094-9107 , 2023 2023 Citations: 6
Modeling and analysis of autonomous hybrid green microgrid system for the electrification of rural area S Sharma, YR Sood, A Maheshwari, Pallav Renewable Energy Systems: Modeling, Optimization and Applications, 167-190 , 2022 2022 Citations: 5
Sliding mode control based generalized technique for synchronization of identical and non-identical chaotic systems in presence of input nonlinearities Pallav, H Handa, BB Sharma Journal of Vibration and Control, 10775463251331805 , 2025 2025 Citations: 3
PI Sliding Mode Control and Active Control Based Stabilization Scheme for a Chaotic System Having Single Stable Equilibrium and its Circuit Implementation A Kumar, H Handa, Pallav 2024 5th International Conference for Emerging Technology (INCET), 1-7 , 2024 2024 Citations: 3
Stabilization of uncertain nonlinear chaotic system using pi smc Pallav, H Handa International Conference on Signal & Data Processing, 477-485 , 2023 2023 Citations: 3
Adaptive sliding mode control for synchronizing chaotic systems under external disturbances and uncertainties: circuit implementation and analysis Pallav, H Handa Analog Integrated Circuits and Signal Processing 125 (2), 29 , 2025 2025 Citations: 2
Hybrid grey Wolf–Cuckoo search optimized linear quadratic regulator for robust quadrotor control R Sharma, V Kumar, Pallav, V Kumar Scientific Reports 15 (1), 44843 , 2025 2025 Citations: 1
Stabilization and synchronization of Chen–Lee chaotic system using sliding mode control approach Pallav, H Handa, S Sharma Artificial Intelligence and Machine Learning Applications for Sustainable … , 2025 2025 Citations: 1
Novel single bounded input control synchronization criterion for a category of hyperchaotic and chaotic systems in presence of uncertainties Pallav, H Handa, BB Sharma Journal of Computational and Nonlinear Dynamics 18 (12) , 2023 2023 Citations: 1
Synchronization of MLS Chaotic System Using Sliding Mode Control Technique Pallav, H Handa Soft Computing: Theories and Applications: Proceedings of SoCTA 2022, 335-346 , 2023 2023 Citations: 1
Stabilizing the Memristive Liu System Using PI-Based Sliding Mode Control: Implications for Autonomous Vehicle Dynamics Pallav, R Kumari 2025 IEEE 4th International Conference on Smart Technologies for Power … , 2025 2025
