Hariharan, A., Rajeswara Rao, K. V. S., Hruthik, K. K., Patil, A. S., Krishna, V., Kinange, S., & Yadav, A. (2025). Simulation-based comparison of robust control and deep reinforcement learning control techniques for active suspension systems. Systems Science & Control Engineering, 13(1), 1-19. https://doi.org/10.1080/21642583.2025.2600770
ISO-690 (author-date, English)HARIHARAN, Arya, RAJESWARA RAO, K V S, HRUTHIK, K K, PATIL, Arya S, KRISHNA, Vamshi, KINANGE, Shravni und YADAV, Anamika, 2025. Simulation-based comparison of robust control and deep reinforcement learning control techniques for active suspension systems. Systems Science & Control Engineering. 1 Dezember 2025. Vol. 13, no. 1, p. 1-19. DOI 10.1080/21642583.2025.2600770.
Modern Language Association 9th editionHariharan, A., K. V. S. Rajeswara Rao, K. K. Hruthik, A. S. Patil, V. Krishna, S. Kinange, und A. Yadav. „Simulation-Based Comparison of Robust Control and Deep Reinforcement Learning Control Techniques for Active Suspension Systems.“. Systems Science & Control Engineering, Bd. 13, Nr. 1, Dezember 2025, S. 1-19, https://doi.org/10.1080/21642583.2025.2600770.
Mohr Siebeck - Recht (Deutsch - Österreich)Hariharan, Arya/Rajeswara Rao, K V S/Hruthik, K K/Patil, Arya S/Krishna, Vamshi/Kinange, Shravni u. a.: Simulation-based comparison of robust control and deep reinforcement learning control techniques for active suspension systems., Systems Science & Control Engineering 2025, 1-19.
Emerald - HarvardHariharan, A., Rajeswara Rao, K.V.S., Hruthik, K.K., Patil, A.S., Krishna, V., Kinange, S. und Yadav, A. (2025), „Simulation-based comparison of robust control and deep reinforcement learning control techniques for active suspension systems.“, Systems Science & Control Engineering, Vol. 13 No. 1, S. 1-19.