International Journal of Adaptive Control and Signal Processing最新文献_第2页

On the Stability Verification of Adaptive Uncertain and Coupled Dynamical Discrete-Time Systems

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-12-14 DOI: 10.1002/acs.3954

Atahan Kurttisi, Islam A. Aly, K. Merve Dogan

引用次数: 0

Lifelong Safe Optimal Adaptive Tracking Control of Nonlinear Strict-Feedback Discrete-Time Systems

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-12-12 DOI: 10.1002/acs.3950

Behzad Farzanegan, S. Jagannathan

{"title":"Lifelong Safe Optimal Adaptive Tracking Control of Nonlinear Strict-Feedback Discrete-Time Systems","authors":"Behzad Farzanegan, S. Jagannathan","doi":"10.1002/acs.3950","DOIUrl":"https://doi.org/10.1002/acs.3950","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper presents a comprehensive approach for achieving multi-task safe optimal adaptive tracking (MSOAT) for a class of nonlinear discrete-time systems, particularly those in strict-feedback form, utilizing a multi-layer neural network (MNN)-based framework. To begin, a cost function with a novel Barrier function (BF) term is introduced for each subsystem to address the weak safely reachable problem, serving as a crucial tool for guiding the system's trajectory toward the safe set while avoiding unwanted sets. To deal with the tracking problem, the Hamilton-Jacobi-Bellman (HJB) framework is used through the actor-critic MNN-based backstepping technique to estimate the solution of the value functions and obtain both virtual and actual optimal control policies for each subsystem, effectively circumventing non-causality issues. Further, to mitigate catastrophic forgetting in multi-tasking scenarios, a regularizer term, which is derived from the online version of the Elastic Weight Consolidation (EWC) method, is included in the critic and actor MNN update laws without directly computing the Fisher information matrix. To enhance the convergence rate, the critic MNN is tuned with a hybrid learning technique involving weight adjustments both at specific sampling instants and iteratively within those intervals. A control barrier function (CBF) with a time-varying BF is also integrated into the actor update law, collaborating with the BF to keep the trajectory in the safe set with a smaller trade-off factor, simultaneously validating the safety condition in real-time. Finally, the overall stability is established. An example of a 6-DOF autonomous underwater vehicle (AUV) is used to assess the effectiveness of the proposed approach.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 3","pages":"451-470"},"PeriodicalIF":3.9,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synchronization of Neural Networks With Unbounded and Non-Differentiable Delays via Decentralized Adaptive Control

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-12-09 DOI: 10.1002/acs.3949

Rui Cai, Hao Zhang

{"title":"Synchronization of Neural Networks With Unbounded and Non-Differentiable Delays via Decentralized Adaptive Control","authors":"Rui Cai, Hao Zhang","doi":"10.1002/acs.3949","DOIUrl":"https://doi.org/10.1002/acs.3949","url":null,"abstract":"<div>\u0000 \u0000 <p>Synchronization of delayed neural networks has been investigated in recent years via decentralized adaptive control methods. However, the effectiveness of the reported results heavily depends on the assumptions that network delays are bounded or differentiable. For more general cases involving unbounded and non-differentiable delays, it remains unclear whether the existing analytical methods and controller designs are still effective. To this end, in this article, a novel method is established to analyze the asymptotical convergence of the controlled error system with adaptive parameters by employing the differential inequality techniques for unbounded delay and Barbalat's lemma, which can effectively overcome the limitations of traditional methods in handling general delay scenarios. The theoretical results demonstrate that traditional decentralized adaptive controller for network synchronization remains effective even if the boundedness and differentiability of delay are removed. A numerical simulation further validates the effectiveness of the proposed theories.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 3","pages":"442-450"},"PeriodicalIF":3.9,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Finite-Dimensional Adaptive Observer Design for Reaction Diffusion Equation With Large Output Delay

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-12-09 DOI: 10.1002/acs.3947

Tarek Ahmed-Ali, Emilia Fridman, Filippo Cacace

引用次数: 0

Systematic Survey on Energy Conservation Using Blockchain for Sustainable Computing Challenges and Roadmaps

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-12-09 DOI: 10.1002/acs.3948

S. Radha Rammohan, Komalavalli Chakravarthi, Nipun Sharma, Swati Sharma, Mallika Natarajan

{"title":"Systematic Survey on Energy Conservation Using Blockchain for Sustainable Computing Challenges and Roadmaps","authors":"S. Radha Rammohan, Komalavalli Chakravarthi, Nipun Sharma, Swati Sharma, Mallika Natarajan","doi":"10.1002/acs.3948","DOIUrl":"https://doi.org/10.1002/acs.3948","url":null,"abstract":"<p>This article proposes a comprehensive analysis of architectures that use blockchain technology to solve important aspects of computing sustainability, with an emphasis on scalability, resource utilization, transparency, and energy conservation. The research focuses on analyzing various structure which embraces decentralization and consensus principles, to redefine the computer infrastructure environment. The study highlights the technology that aids in improving scalability and resource utilization by decentralizing data storage and processing, relieving the load on centralized servers, and lowering the environmental effect of large-scale data centers. This study's findings are significant in uncovering best practices and optimizing the environmental impact of blockchain technology by evaluating blockchain indicators such as scalability, resource utilization, transparency, and energy saving within the framework of sustainable computing. The project intends to assist in the development of resource-efficient solutions, address scalability issues, and promote openness and accountability by evaluating the performance of various blockchain implementations. The findings help to promote the larger goal of connecting technical improvements, notably in blockchain, with global environmental goals. The research reveals that energy conservation is an important aspect of sustainability, and the different frameworks including techniques for optimizing energy consumption based on carbon footprint concerns, decentralization, and consensus methods are intended to prioritize energy-efficient nodes and promote environmentally friendly practices, resulting in a greener computing ecosystem.</p>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 2","pages":"247-265"},"PeriodicalIF":3.9,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acs.3948","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Control of Constrained Nonlinear Systems With Intermittent Faults: A Fixed-Time Fault-Tolerant Framework Based on Projection Operator

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-12-04 DOI: 10.1002/acs.3938

Yongli Wei, Ming Gao, Li Sheng, Yuhan Ma, Zhongyu Chen

{"title":"Adaptive Control of Constrained Nonlinear Systems With Intermittent Faults: A Fixed-Time Fault-Tolerant Framework Based on Projection Operator","authors":"Yongli Wei, Ming Gao, Li Sheng, Yuhan Ma, Zhongyu Chen","doi":"10.1002/acs.3938","DOIUrl":"https://doi.org/10.1002/acs.3938","url":null,"abstract":"<div>\u0000 \u0000 <p>This article investigates the problem of adaptive fixed-time fault-tolerant control for nonlinear systems with time-varying intermittent faults and asymmetric output constraints. For this purpose, a novel adaptive law based on the projection operator technique is developed to estimate time-varying intermittent faults, which eliminates the problem that the estimated value increases continuously with the accumulation of fault times. Considering that the fault estimation time needs to be less than the minimum time interval of intermittent faults, the fixed-time design methodology is introduced to ensure that the relationship between the above two can be quantitatively analyzed. Then, a novel adaptive fixed-time fault-tolerant control strategy is put forward for the closed-loop system, in which a universal barrier function is adopted to remain the system output in the time-varying asymmetric constraint condition invariably. The theoretical analysis indicates that the developed strategy can guarantee the boundedness of all signals in the closed-loop system in a fixed-time. Finally, two examples, one of which involves the rotary steerable drilling tool systems are provided to demonstrate the feasibility and validity of the put forward scheme.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 2","pages":"292-307"},"PeriodicalIF":3.9,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Finite-Time Decentralized Adaptive Fuzzy Control for Non-Triangular Form Large-Scale Time-Delay Systems With Full State Constraints

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-12-04 DOI: 10.1002/acs.3942

Jianmin Jiao, Junmin Li, Rui Zhang

引用次数: 0

Robust Optimal Consensus Control for Nonlinear Multi-agent Systems: Two Hybrid Dynamic Event-Triggered-Based Approach

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-12-04 DOI: 10.1002/acs.3945

Haoming Zou, Guoshan Zhang

{"title":"Robust Optimal Consensus Control for Nonlinear Multi-agent Systems: Two Hybrid Dynamic Event-Triggered-Based Approach","authors":"Haoming Zou, Guoshan Zhang","doi":"10.1002/acs.3945","DOIUrl":"https://doi.org/10.1002/acs.3945","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, the dynamic event-triggered robust optimal consensus control problem is investigated for nonlinear multi-agent systems (MASs) with matched and mismatched disturbances via integral sliding mode (ISM) control and the adaptive dynamic programming (ADP) algorithm. First, a dynamic event-triggered fixed-time ISM controller is designed to guarantee that the system state converges to the predefined ISM manifold, thereby eliminating the matched disturbances. Next, the consensus control problem is transformed into an optimal control problem by constructing neighborhood error dynamics and a new modified cost function; thus, an event-triggered-based coupled Hamilton-Jacobi-Bellman equation (HJBE) is established. Then, an ADP-based single-critic neural network (NN) is constructed to solve coupled HJBE to obtain the event-triggered optimal controller, in which the NN weight is updated only at the triggering instants. Through the implementation of these two dynamic event-triggered mechanisms, resources and controller execution time can be saved. It is proved that the whole closed-loop system signals are uniformly ultimately bounded by the Lyapunov technique. Finally, two illustrative examples verify the effectiveness and superiority of the proposed control scheme.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 2","pages":"398-423"},"PeriodicalIF":3.9,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Fixed-Time Prescribed Performance Synchronization Control for Multi-Motor Driving Systems

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-12-03 DOI: 10.1002/acs.3946

Xin Huang, Cheng-Lin Liu, Liang Shan

引用次数: 0

Adaptive Fuzzy Bipartite Time-Varying Formation Tracking Control for Multiple Lagrangian Systems With Lumped Uncertainties via Finite-Time Hierarchical Mechanism

IF 3.9 4区计算机科学

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-12-02 DOI: 10.1002/acs.3944

Shuang Wang, Tao Han, Bo Xiao, Huaicheng Yan

{"title":"Adaptive Fuzzy Bipartite Time-Varying Formation Tracking Control for Multiple Lagrangian Systems With Lumped Uncertainties via Finite-Time Hierarchical Mechanism","authors":"Shuang Wang, Tao Han, Bo Xiao, Huaicheng Yan","doi":"10.1002/acs.3944","DOIUrl":"https://doi.org/10.1002/acs.3944","url":null,"abstract":"<div>\u0000 \u0000 <p>This article explores the bipartite time-varying formation tracking problem for multiple Lagrangian systems in the presence of lumped uncertainties, including friction, external disturbances, and actuator faults. To tackle this challenging problem, a finite-time hierarchical mechanism is designed without prior knowledge of uncertainties, which decomposes the above issue into two sub-control problems: 1) the distributed finite-time estimation problem and 2) the local adaptive fuzzy tracking problem. The distributed estimator algorithm is developed to achieve a finite-time bipartite time-varying formation configuration under a cooperative-antagonistic interaction topology. Further, these estimated states are employed to construct the adaptive fuzzy tracking controller based on fuzzy-logic systems and fault-tolerant techniques. Lyapunov functions are utilized to ensure that the considered systems attain the desired formation while maintaining finite-time stability of tracking errors. Finally, simulation experiments are performed to verify the effectiveness of the proposed control algorithm.</p>\u0000 </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 2","pages":"383-397"},"PeriodicalIF":3.9,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0