Hybrid Control Architectures for Autonomous Systems - Analyzing hybrid control architectures combining classical and learning-based approaches for autonomous systems
Keywords:
Hybrid Control Architectures, Autonomous Systems, Classical Control, Learning-Based Approaches, Robustness, Adaptability, Dynamic Environments, Uncertainty, PerformanceAbstract
Hybrid Control Architectures for Autonomous Systems have garnered significant interest due to their potential to combine the robustness of classical control approaches with the adaptability of learning-based methods. This paper presents a comprehensive analysis of various hybrid control architectures used in autonomous systems, focusing on their design principles, advantages, and challenges. The study evaluates how these architectures enhance the overall performance, reliability, and safety of autonomous systems in dynamic and uncertain environments. Through a detailed review and comparison of existing approaches, this paper provides insights into the state-of-the-art techniques and identifies future research directions in the field of hybrid control architectures for autonomous systems.
References
Pargaonkar, Shravan. "A Review of Software Quality Models: A Comprehensive Analysis." Journal of Science & Technology 1.1 (2020): 40-53.
Vyas, Bhuman. "Java in Action: AI for Fraud Detection and Prevention." International Journal of Scientific Research in Computer Science, Engineering and Information Technology (2023): 58-69.
Reddy, Surendranadha Reddy Byrapu, and Surendranadha Reddy. "Large Scale Data Influences Based on Financial Landscape Using Big Data." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3862-3870.
Singh, Amarjeet, et al. "Improving Business deliveries using Continuous Integration and Continuous Delivery using Jenkins and an Advanced Version control system for Microservices-based system." 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT). IEEE, 2022.
Raparthi, Mohan, Sarath Babu Dodda, and SriHari Maruthi. "Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks." European Economic Letters (EEL) 10.1 (2020).
Pargaonkar, Shravan. "Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering." Journal of Science & Technology 1.1 (2020): 61-66.
Reddy, S. R. B., & Reddy, S. (2023). Large Scale Data Influences Based on Financial Landscape Using Big Data. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 3862-3870.
Reddy, Byrapu, and Surendranadha Reddy. "Evaluating The Data Analytics For Finance And Insurance Sectors For Industry 4.0." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3871-3877.
Vyas, Bhuman. "Security Challenges and Solutions in Java Application Development." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 12.2 (2023): 268-275.
Raparthi, Mohan, Sarath Babu Dodda, and Srihari Maruthi. "AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health." European Economic Letters (EEL) 11.1 (2021).
Pargaonkar, Shravan. "Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering." Journal of Science & Technology 1.1 (2020): 67-81.
Reddy, B., & Reddy, S. (2023). Evaluating The Data Analytics For Finance And Insurance Sectors For Industry 4.0. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 3871-3877.
Reddy, Surendranadha Reddy Byrapu. "Unified Data Analytics Platform For Financial Sector Using Big Data." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3878-3885.
Vyas, Bhuman. "Ensuring Data Quality and Consistency in AI Systems through Kafka-Based Data Governance." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 10.1 (2021): 59-62.
Raparthi, Mohan, et al. "AI-Driven Metabolmics for Precision Nutrition: Tailoring Dietary Recommendations based on Individual Health Profiles." European Economic Letters (EEL) 12.2 (2022): 172-179.
Reddy, S. R. B. (2023). Unified Data Analytics Platform For Financial Sector Using Big Data. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 3878-3885.
Pargaonkar, Shravan. "Quality and Metrics in Software Quality Engineering." Journal of Science & Technology 2.1 (2021): 62-69.
Reddy, Byrapu, and Surendranadha Reddy. "Demonstrating The Payroll Reviews Based On Data Visualization For Financial Services." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3886-3893.
Vyas, Bhuman. "Explainable AI: Assessing Methods to Make AI Systems More Transparent and Interpretable." International Journal of New Media Studies: International Peer Reviewed Scholarly Indexed Journal 10.1 (2023): 236-242.
Singh, Amarjeet, et al. "Event Driven Architecture for Message Streaming data driven Microservices systems residing in distributed version control system." 2022 International Conference on Innovations in Science and Technology for Sustainable Development (ICISTSD). IEEE, 2022.
Pargaonkar, Shravan. "The Crucial Role of Inspection in Software Quality Assurance." Journal of Science & Technology 2.1 (2021): 70-77.
Reddy, B., & Reddy, S. (2023). Demonstrating The Payroll Reviews Based On Data Visualization For Financial Services. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 3886-3893.
Reddy, Surendranadha Reddy Byrapu, and Surendranadha Reddy. "Digital Transformations Theoretical Investigation On The Basis Of Smart Government Initiatives." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3894-3901.
Vyas, Bhuman. "Optimizing Data Ingestion and Streaming for AI Workloads: A Kafka-Centric Approach." International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068 1.1 (2022): 66-70.
Rajendran, Rajashree Manjulalayam. "Scalability and Distributed Computing in NET for Large-Scale AI Workloads." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 10.2 (2021): 136-141.
Reddy, S. R. B., & Reddy, S. (2023). Digital Transformations Theoretical Investigation On The Basis Of Smart Government Initiatives. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 3894-3901.
Pargaonkar, Shravan. "Unveiling the Future: Cybernetic Dynamics in Quality Assurance and Testing for Software Development." Journal of Science & Technology 2.1 (2021): 78-84.
Vyas, Bhuman. "Java-Powered AI: Implementing Intelligent Systems with Code." Journal of Science & Technology 4.6 (2023): 1-12.
Nalluri, Mounika, et al. "Investigate The Use Of Robotic Process Automation (RPA) To Streamline Administrative Tasks In Healthcare, Such As Billing, Appointment Scheduling, And Claims Processing." Tuijin Jishu/Journal of Propulsion Technology 44.5 (2023): 2458-2468.
Vyas, Bhuman. "Ethical Implications of Generative AI in Art and the Media." International Journal for Multidisciplinary Research (IJFMR), E-ISSN: 2582-2160.
Rajendran, Rajashree Manjulalayam. "Exploring the Impact of ML NET (http://ml. net/) on Healthcare Predictive Analytics and Patient Care." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 11.1 (2022): 292-297.
Nalluri, M., Reddy, S. R. B., Rongali, A. S., & Polireddi, N. S. A. (2023). Investigate The Use Of Robotic Process Automation (RPA) To Streamline Administrative Tasks In Healthcare, Such As Billing, Appointment Scheduling, And Claims Processing. Tuijin Jishu/Journal of Propulsion Technology, 44(5), 2458-2468.
Pargaonkar, Shravan. "Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality." Journal of Science & Technology 2.1 (2021): 85-94.
Nalluri, Mounika, and Surendranadha Reddy Byrapu Reddy. "babu Mupparaju, C., & Polireddi, NSA (2023). The Role, Application And Critical Issues Of Artificial Intelligence In Digital Marketing." Tuijin Jishu/Journal of Propulsion Technology 44.5: 2446-2457.
Pargaonkar, S. (2020). A Review of Software Quality Models: A Comprehensive Analysis. Journal of Science & Technology, 1(1), 40-53.
Nalluri, M., & Reddy, S. R. B. babu Mupparaju, C., & Polireddi, NSA (2023). The Role, Application And Critical Issues Of Artificial Intelligence In Digital Marketing. Tuijin Jishu/Journal of Propulsion Technology, 44(5), 2446-2457.
Singh, A., Singh, V., Aggarwal, A., & Aggarwal, S. (2022, November). Improving Business deliveries using Continuous Integration and Continuous Delivery using Jenkins and an Advanced Version control system for Microservices-based system. In 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) (pp. 1-4). IEEE.
Vyas, Bhuman, and Rajashree Manjulalayam Rajendran. "Generative Adversarial Networks for Anomaly Detection in Medical Images." International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068 2.4 (2023): 52-58.
Raparthi, M., Dodda, S. B., & Maruthi, S. (2020). Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks. European Economic Letters (EEL), 10(1).
Pargaonkar, S. (2020). Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering. Journal of Science & Technology, 1(1), 61-66.
Nalluri, Mounika, et al. "Explore The Application Of Machine Learning Algorithms To Analyze Genetic And Clinical Data To Tailor Treatment Plans For Individual Patients." Tuijin Jishu/Journal of Propulsion Technology 44.5 (2023): 2505-2513.
Raparthi, M., Dodda, S. B., & Maruthi, S. (2021). AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health. European Economic Letters (EEL), 11(1).
Vyas, B. (2021). Ensuring Data Quality and Consistency in AI Systems through Kafka-Based Data Governance. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(1), 59-62.
Rajendran, R. M. (2021). Scalability and Distributed Computing in NET for Large-Scale AI Workloads. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(2), 136-141.
Nalluri, M., Reddy, S. R. B., Pulimamidi, R., & Buddha, G. P. (2023). Explore The Application Of Machine Learning Algorithms To Analyze Genetic And Clinical Data To Tailor Treatment Plans For Individual Patients. Tuijin Jishu/Journal of Propulsion Technology, 44(5), 2505-2513.
Singh, A., Singh, V., Aggarwal, A., & Aggarwal, S. (2022, August). Event Driven Architecture for Message Streaming data driven Microservices systems residing in distributed version control system. In 2022 International Conference on Innovations in Science and Technology for Sustainable Development (ICISTSD) (pp. 308-312). IEEE.
Pargaonkar, S. (2020). Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering. Journal of Science & Technology, 1(1), 67-81.
Byrapu, Surendranadha Reddy. "Supply Chain Risk Management." JOURNAL OF ALGEBRAIC STATISTICS 14.1 (2023): 150-155.
Vyas, B. (2022). Optimizing Data Ingestion and Streaming for AI Workloads: A Kafka-Centric Approach. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 1(1), 66-70.
Pargaonkar, S. (2021). Quality and Metrics in Software Quality Engineering. Journal of Science & Technology, 2(1), 62-69.
Byrapu, Surendranadha Reddy. "Big Data Analysis in Finance Management." JOURNAL OF ALGEBRAIC STATISTICS 14.1 (2023): 142-149.
Rajendran, Rajashree Manjulalayam. "Code-driven Cognitive Enhancement: Customization and Extension of Azure Cognitive Services in. NET." Journal of Science & Technology 4.6 (2023): 45-54.
Byrapu, S. R. (2023). Supply Chain Risk Management. JOURNAL OF ALGEBRAIC STATISTICS, 14(1), 150-155.
Vyas, B. Ethical Implications of Generative AI in Art and the Media. International Journal for Multidisciplinary Research (IJFMR), E-ISSN, 2582-2160.
Rajendran, R. M. (2022). Exploring the Impact of ML NET (http://ml. net/) on Healthcare Predictive Analytics and Patient Care. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 11(1), 292-297.
Pargaonkar, S. (2021). The Crucial Role of Inspection in Software Quality Assurance. Journal of Science & Technology, 2(1), 70-77.
Byrapu, S. R. (2023). Big Data Analysis in Finance Management. JOURNAL OF ALGEBRAIC STATISTICS, 14(1), 142-149.
Pargaonkar, S. (2021). Unveiling the Future: Cybernetic Dynamics in Quality Assurance and Testing for Software Development. Journal of Science & Technology, 2(1), 78-84.
Rajendran, Rajashree Manjulalayam. "Importance Of Using Generative AI In Education: Dawn of a New Era." Journal of Science & Technology 4.6 (2023): 35-44.
Raparthi, M., Maruthi, S., Dodda, S. B., & Reddy, S. R. B. (2022). AI-Driven Metabolmics for Precision Nutrition: Tailoring Dietary Recommendations based on Individual Health Profiles. European Economic Letters (EEL), 12(2), 172-179.
Pargaonkar, S. (2021). Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality. Journal of Science & Technology, 2(1), 85-94.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
License Terms
Ownership and Licensing:
Authors of this research paper submitted to the journal owned and operated by The Science Brigade Group retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in this Journal.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal. Online sharing enhances the visibility and accessibility of the research papers.
Responsibility and Liability:
Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.
