{"title":"Distributed Continuous-Time Optimization With Uncertain Time-Varying Quadratic Cost Functions","authors":"Liangze Jiang;Zheng-Guang Wu;Lei Wang","doi":"10.1109/TSMC.2024.3506587","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3506587","url":null,"abstract":"This article studies distributed continuous-time optimization for time-varying quadratic cost functions with uncertain parameters. We first propose a centralized adaptive optimization algorithm using partial information of the cost function. It can be seen that even if there are uncertain parameters in the cost function, exact optimization can still be achieved. To solve this problem in a distributed manner when different local cost functions have identical Hessians, we propose a novel distributed algorithm that cascades the fixed-time average estimator and the distributed optimizer. We remove the requirement for the upper bounds of certain complex functions by integrating state-based gains in the proposed design. We further extend this result to address the distributed optimization where the time-varying cost functions have nonidentical Hessians. We prove the convergence of all the proposed algorithms in the global sense. Numerical examples verify the proposed algorithms.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 2","pages":"1526-1536"},"PeriodicalIF":8.6,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Over-Approximation State Estimation for Networked Timed Discrete Event Systems With Communication Delays and Losses","authors":"Zhaoyu Xiang;Yufeng Chen;Naiqi Wu;Zhiwu Li","doi":"10.1109/TSMC.2024.3495718","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3495718","url":null,"abstract":"This article investigates the state estimation for a networked timed discrete event system, where a plant communicates with a supervisor via a multichannel network characterized by bounded delays and losses. To address delays and losses in observation channels, we augment the plant by integrating the dynamics of these channels, thus capturing the system’s open-loop behavior. To tackle delays and losses in control channels, we augment the supervisor by considering all control decisions with potential impact on the system’s behavior. By integrating the augmented plant and supervisor, we introduce a compensated system that enables the derivation of an over-approximation of the closed-loop system’s behavior. Ultimately, we devise an online over-approximation state estimation algorithm for the closed-loop system, to compute all possible system states under communication delays and losses. We provide a simulation example to illustrate the efficacy of the proposed method.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 2","pages":"1215-1229"},"PeriodicalIF":8.6,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intelligent Experiment Robotic Systems Design for Material Preparation and Detection","authors":"Yifan Wu;Yingru Sun;Xinbo Yu;Dawei Zhang;Wei He","doi":"10.1109/TSMC.2024.3501318","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3501318","url":null,"abstract":"This article presents an intelligent robotic system developed for experiments in the materials science laboratory, specifically focusing on coating preparation via layer-by-layer self-assembly techniques and hydrophobic detection. The system integrates two collaborative robotic arms, enhanced with dynamic movement primitives (DMPs), to mimic human manipulation skills and bolster the robots’ imitation capabilities. Additionally, a mobile robotic arm facilitates autonomous operations. A key component is an independently designed optical detection device capable of measuring water droplet angles. Coupled with a compatible simulation platform, the system can perform virtual experiments and generate trajectories for obstacle avoidance, and in which generative adversarial imitation learning (GAIL) in simulating robot trajectories. This article details the system’s construction, process design encompassing the robotic systems, optical detection device, simulation, and visualization platform. It also explores the vast potential of future AI-driven laboratories in materials science, biology, medicine, and chemistry.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 2","pages":"1241-1251"},"PeriodicalIF":8.6,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sampled-Data Nonfragile Bipartite Tracking Consensus for Nonlinear Multiagent Systems: Dealing With Denial-of-Service Attacks","authors":"Luyang Yu;Zidong Wang;Yurong Liu;Changfeng Xue","doi":"10.1109/TSMC.2024.3497590","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3497590","url":null,"abstract":"This article examines the nonfragile bipartite tracking consensus issue in the context of sampled-data nonlinear multiagent systems (MASs) undergoing denial-of-service (DoS) attacks and control gain fluctuations, where both cooperative and competitive interactions between the agents over the network are taken into account. During the DoS attacks, with communication services being denied, a halt in data transmission among the agents is experienced, which might result in performance degradation, undesirable oscillatory behavior, or even hinders the agents from performing their intended tasks. Consequently, there emerges a pressing requirement for the analysis and design of a secure bipartite tracking consensus protocol for MASs under the threat of DoS attacks. In pursuit of this goal, a modified Halanay-like inequality is initially established, which provides a basis for us to derive certain sufficient conditions ensuring the MASs to achieve the bipartite tracking consensus, despite the disruptive presence of malicious DoS attacks. Additionally, the control gain matrix can be readily computed by resolving a collection of linear matrix inequalities. For specific scenarios that demand reduced computational complexity, the matrix decoupling method is introduced, enabling a reduction in the dimensionality of the matrix inequalities and, consequently, facilitating its straightforward application to large-scale MASs. This article culminates in a numerical simulation, which is performed to validate the developed results.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 2","pages":"1202-1214"},"PeriodicalIF":8.6,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Priority-Based DREAM Approach for Highly Manoeuvring Intruders in a Perimeter Defense Problem","authors":"Shridhar Velhal;Suresh Sundaram;Narasimman Sundararajan","doi":"10.1109/TSMC.2024.3501480","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3501480","url":null,"abstract":"In this article, a priority-based dynamic resource Allocation with decentralized Multitask assignment (P-DREAM) approach is presented to protect a territory from highly manoeuvring intruders. In the first part, static optimization problems are formulated to compute the following parameters of the perimeter defense problem; the number of reserve stations, their locations, the priority region, the monitoring region, and the minimum number of defenders required for the monitoring purpose. The concept of a prioritized intruder is proposed here to identify and handle those critical intruders (computed based on the velocity ratio and location) to be tackled on a priority basis. The computed priority region helps to assign reserve defenders sufficiently earlier such that they can neutralize the prioritized intruders. The monitoring region defines the minimum region to be monitored and is sufficient enough to handle the intruders. In the second part, the earlier developed DREAM approach is modified to incorporate the priority of an intruder. The proposed P-DREAM approach assigns the defenders to the prioritized intruders as the first task. A convex territory protection problem is simulated to illustrate the P-DREAM approach. It involves the computation of static parameters and solving the prioritized task assignments with dynamic resource allocation. Monte-Carlo results were conducted to verify the performance of P-DREAM, and the results clearly show that the P-DREAM approach can protect the territory with consistent performance against highly manoeuvring intruders.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 2","pages":"1388-1399"},"PeriodicalIF":8.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Uncertainty Oriented-Incremental Erasable Pattern Mining Over Data Streams","authors":"Hanju Kim;Myungha Cho;Hyeonmo Kim;Yoonji Baek;Chanhee Lee;Taewoong Ryu;Heonho Kim;Seungwan Park;Doyoon Kim;Doyoung Kim;Sinyoung Kim;Bay Vo;Jerry Chun-Wei Lin;Witold Pedrycz;Unil Yun","doi":"10.1109/TSMC.2024.3505904","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3505904","url":null,"abstract":"In a manufacturing factory, product lines are organized by several constituents and exhibit a profit value, i.e., income from products. Erasable patterns are less profitable patterns whose gain, i.e., the sum of product profits, does not exceed a user-defined threshold. Mining erasable patterns provides the necessary information to users who want to increase profits by erasing less profitable patterns. There are requirements for a method which efficiently manages uncertain databases in incremental environments to identify erasable patterns that consider uncertainty. Because our novel technique uses a list structure, it is more efficient at finding erasable patterns from incremental databases. Moreover, accumulated stream data should be handled efficiently to identify new useful patterns in both additional data and the existing data. In this article, an algorithm using a list-based structure is proposed to extract erasable patterns containing valuable knowledge from uncertain databases in real time with effective and productive performance. In order to derive erasable patterns from continuously accumulated stream databases, the structure efficiently manages the information gathered from the previous database. Extensive performance and pattern quality evaluations were conducted using real and synthetic datasets. The results show that the algorithm performs up to seven times faster than state-of-the-art erasable pattern mining algorithms on real datasets and scales adeptly on synthetic datasets while delivering reliable and significant result patterns.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 2","pages":"1451-1465"},"PeriodicalIF":8.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Observer-Based Adaptive Robust Actor–Critic Learning Saturated PID Controller for a Class of Euler–Lagrange Robotic Systems With Guaranteed Performance: Theory and Practice","authors":"Omid Elhaki;Khoshnam Shojaei;Abbas Chatraei;Allahyar Montazeri","doi":"10.1109/TSMC.2024.3506695","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3506695","url":null,"abstract":"This article addresses the output-feedback reinforcement learning (RL)-based saturated proportional-integral-derivative (PID) control design for fully actuated Euler-Lagrange (EL) systems which are uncertain subject to actuator saturation with prescribed performance. It is assumed that the actuator input nonlinearity, uncertain nonlinearities and unmeasurable external disturbances have a significant impact on the system. The presence of actuator saturation and complex uncertainties may inevitably give rise to the breakdown of the EL control system. The lack of prior knowledge of the system dynamics renders the presented technique to achieve a robust prescribed tracking performance without using velocity sensors. To conquer mentioned obstacles, a novel RL saturated PID controller, which is not dependent on the system’s dynamics and only requires measurable output signals is designed via actor-critic structure to deeply estimate and compensate complex unknowns. An adaptive robust controller is used to reduce external disturbances effects adaptively. The prescribed performance funnel control way is considered to guarantee predetermined output constraints. The high-gain observer (HGO) is used to estimate velocities and derivatives free of system dynamics, and generalized saturation functions are utilized to efficiently decrease actuator saturation danger. It is proved that suggested technique ensures a robust prescribed performance with input constraints in the absence of velocity sensors and the existence of considerable complicated model uncertainties. A semi-global uniform ultimate boundedness (SGUUB) stability for tracking deviation errors and state estimation deviation is ensured through a Lyapunov stability study. Finally, experimental results on a real robotic arm is carried out to further demonstrate the effectiveness of all theoretical findings.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 2","pages":"1400-1412"},"PeriodicalIF":8.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Industrial Fault Diagnosis With Incremental Learning Capability Under Varying Sensory Data","authors":"Han Zhou;Hongpeng Yin;Yan Qin;Chau Yuen","doi":"10.1109/TSMC.2024.3500019","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3500019","url":null,"abstract":"Evolving monitoring requirements may necessitate the addition of new sensors or the exclusion of old ones. Unfortunately, traditional data-driven fault diagnosis methods usually hold the assumption that the number of sensors remains constant throughout the monitoring process, so they need to be retrained with intractable computation to account for the varying sensor behaviors. This article designs a fault diagnosis method that deals with varying sensor behaviors in an online fashion. First, we list potential sensor varying behaviors by providing definitions of sensor states and sensor state transitions. Then, this article proposes the incremental varying sensory data-driven fault diagnosis model (IVSM). IVSM is able to update in an incremental manner under varying sensory data, with a theoretical performance guarantee. The primary objective of IVSM is to continuously map the heterogeneous sensory data within different time into a unified subspace, thereby enabling the direct measurement of heterogeneous and varying sensory data. Subsequently, it constructs a fault identification classifier within this unified subspace to determine the presence of faulty conditions in the systems. Its effectiveness and efficiency are verified by experimental results obtained from two public industrial systems and one practical industrial plant.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 2","pages":"1322-1333"},"PeriodicalIF":8.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal Fault-Tolerant Control for Large-Scale Interconnected Systems With State Constraints","authors":"Qingyi Liu;Ke Zhang;Bin Jiang;Silvio Simani","doi":"10.1109/TSMC.2024.3505945","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3505945","url":null,"abstract":"Guaranteed system performance under various circumstances continues to be a challenge in technique and practice. Based on this, this article investigates the optimal fault-tolerant control strategy for a large-scale interconnected system with the intermittent actuator faults. Since the subsystem state is enforced to a restricted range, an asymmetric integral barrier Lyapunov function is incorporated into the principle of Bellman optimality to avoid the violation of state constraints. Also, it can conquer a conservative limitation that the bounds of the transformed error-constraints are known. Subsequently, the critic-actor–identifier framework is constructed in the backstepping step to evaluate the objective function, control behavior and unknown dynamic, respectively, wherein the decentralized controller derived from the learning process and the fault-tolerant controller are separated by introducing an intermediate controller. Meanwhile, it is illustrated that the trajectory tracking errors will approach to a small region nearby the origin, and the system states may not beyond the given asymmetric constraint bounds, even in the presence of faults. Finally, results are presented to exhibit the effectiveness and the advantage of the optimal approach through appropriate comparative simulations.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 2","pages":"1564-1575"},"PeriodicalIF":8.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hua Ma;Chao Xiong;Xiangru Fu;Haibin Zhu;Yuqi Tang;Keqin Li
{"title":"Collaborative Recommendation of National Image Resources for Targeted International Communication via Multidimensional Features and E-CARGO Modeling","authors":"Hua Ma;Chao Xiong;Xiangru Fu;Haibin Zhu;Yuqi Tang;Keqin Li","doi":"10.1109/TSMC.2024.3506653","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3506653","url":null,"abstract":"With the acceleration of globalization, the targeted international communication of national images contributes to enhancing a nation’s soft power and international recognition. It is challenging to select appropriate resources from the mass candidates for creating promotional works of national image. Existing research only focuses on the methodologies and lacks the systematic modeling and solving of national image resources recommendation. A collaborative recommendation approach to national image resources is proposed for targeted international communication. In it, the multidimensional features of national image resources and characteristics of communication audiences are modeled, and an evaluation mechanism is proposed to measure the comprehensive compatibility between national image resources and communication audiences. By innovatively introducing the role-based collaboration (RBC) theory and the environment-classes, agents, roles, groups, and objects (E-CARGO) model, the national image resources recommendation is formalized as a collaborative optimization problem. The mathematical model is built and solved via an optimization package. Finally, the case study and experiments show that the approach is efficient, feasible, and conducive to enhancing the efficiency of selecting national image resources. It offers a novel research paradigm for targeted international communication.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 2","pages":"1549-1563"},"PeriodicalIF":8.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}