ISA transactions最新文献

Dynamic event-triggered adaptive control for electro-hydraulic servomechanism. 电液伺服机构的动态事件触发自适应控制。

ISA transactions Pub Date : 2025-05-23 DOI: 10.1016/j.isatra.2025.05.027

Chao Shen, Jianxin Zhu

引用次数: 0

A novel performance synthesis method for unknown mismatched disturbances with finite-frequency specifications. 一种新的有限频域未知失匹配干扰性能综合方法。

ISA transactions Pub Date : 2025-05-22 DOI: 10.1016/j.isatra.2025.05.031

Gao Huang, Jixuan Li, Pan Yu

{"title":"A novel performance synthesis method for unknown mismatched disturbances with finite-frequency specifications.","authors":"Gao Huang, Jixuan Li, Pan Yu","doi":"10.1016/j.isatra.2025.05.031","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.031","url":null,"abstract":"A novel synthesis method of disturbance-rejection performance is developed for equivalent-input-disturbance (EID)-based control systems regardless of the unknown and mismatch of disturbances in this paper. It removes the prior assumption on the existence of an EID on the control input channel and guarantees a prescribed finite-frequency performance. First, by treating the Luenberger observer as an ideal dynamic, an auxiliary indicator, i.e., an intermediate variable, is introduced to facilitate performance evaluation. Then, the control mechanism of disturbance-rejection performance is revealed for both single-input, single-output (SISO) and multi-input, multi-output (MIMO) systems with the aid of a commutative condition. More specifically, the commutative condition is always true for SISO systems, but it is a bit challenging to find appropriate parameters such that the commutative condition holds for MIMO systems. To facilitate implementation, a practical commutative condition is developed and used instead of the original commutative condition. Further, taking into account the practical commutative condition, a performance-oriented design algorithm is given, which ensures the prescribed finite-frequency and entire-frequency disturbance-rejection performance requirements. Finally, by comparing with other methods, case studies of a quarter-vehicle suspension system and an MIMO system are carried out to demonstrate the advantages of the developed method.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Observer-based false data injection attack resilient event-triggered control of microgrid load frequency control system. 基于观测器的假数据注入攻击弹性事件触发控制微电网负荷变频控制系统。

ISA transactions Pub Date : 2025-05-21 DOI: 10.1016/j.isatra.2025.05.030

Athira M Mohan, Nader Meskin

{"title":"Observer-based false data injection attack resilient event-triggered control of microgrid load frequency control system.","authors":"Athira M Mohan, Nader Meskin","doi":"10.1016/j.isatra.2025.05.030","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.030","url":null,"abstract":"This study develops a secondary attack resilient observer-based event-triggered control (AROETC) strategy to counter false data injection (FDI) attack at the secondary measurement channel of an islanded microgrid load frequency control (LFC) system with auxiliary/virtual inertia (VI) control loop. The considered microgrid LFC system configuration consists of a local uncompromised VI control loop and a remotely located observer-based secondary controller that ensures FDI attack resilience and communication efficiency. The VI control loop employs a proposed regional pole placement (RPP)-based state feedback auxiliary controller for attaining desired VI performance. The RPP technique of the VI control strategy allows auxiliary control gain tuning by positioning the closed-loop auxiliary poles at the locations described by RPP parameters and thus ensures required auxiliary frequency regulation. Further, the secondary observer and controller gains, ensuring FDI attack resilience and prescribed H∞ performance, are derived using Lyapunov-Krasovskii functional stability analysis, considering secondary measurement channel communication delay, output-based event-triggering condition, remote secondary observer location, and deceptive frequency measurement signal model. Additionally, the impact of FDI attack and the efficacy of the proposed FDI AROETC method are validated through simulation analysis under various disturbance input profiles.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sliding mode controller by using adaptive exponential reaching law based on nonlinear disturbance observer. 基于非线性扰动观测器的自适应指数逼近律滑模控制器。

ISA transactions Pub Date : 2025-05-21 DOI: 10.1016/j.isatra.2025.05.028

Ying Liu, Gongfa Li, Du Jiang, Juntong Yun, Bo Tao, Guozhang Jiang, Jianyi Kong, Baojia Chen

引用次数: 0

Distributed secure estimation for interconnected systems against eavesdropping under energy harvesting constrained encryption. 能量收集约束加密下互联系统防窃听的分布式安全估计。

ISA transactions Pub Date : 2025-05-19 DOI: 10.1016/j.isatra.2025.04.033

Shuqi Chen, Daniel W C Ho, Zhongyao Hu

引用次数: 0

Inverse reinforcement learning for discrete-time linear systems based on inverse optimal control. 基于逆最优控制的离散线性系统逆强化学习。

ISA transactions Pub Date : 2025-05-19 DOI: 10.1016/j.isatra.2025.04.027

Jiashun Huang, Dengguo Xu, Yahui Li, Xiang Zhang, Jingling Zhao

{"title":"Inverse reinforcement learning for discrete-time linear systems based on inverse optimal control.","authors":"Jiashun Huang, Dengguo Xu, Yahui Li, Xiang Zhang, Jingling Zhao","doi":"10.1016/j.isatra.2025.04.027","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.027","url":null,"abstract":"This paper mainly deals with inverse reinforcement learning (IRL) for discrete-time linear time-invariant systems. Based on input and state measurement data from expert agent, several algorithms are proposed to reconstruct cost function in optimal control problem. The algorithms mainly consist of three steps, namely updating control gain via algebraic Riccati equation (ARE), gradient descent to correct cost matrix, and updating weight matrix based on inverse optimal control (IOC). First, by reformulating gain formula of optimal control in the learner system, we present a model-based IRL algorithm. When the system model is fully known, the cost function can be iteratively computed. Then, we develop a partially model-free IRL framework for reconstructing the cost function by introducing auxiliary control inputs and decomposing the algorithm into outer and inner loop. Therefore, in the case where the input matrix is unknown, weight matrix in the cost function is reconstructed. Moreover, the convergence of the algorithms and the stability of corresponding closed-loop system have been demonstrated. Finally, simulations verify the effectiveness of the proposed IRL algorithms.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144133326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fixed-time path following control for automated ground vehicle subject to prescribed performance and lateral tire force constraint. 在规定性能和轮胎侧向力约束下的自动地面车辆定时路径跟踪控制。

ISA transactions Pub Date : 2025-05-17 DOI: 10.1016/j.isatra.2025.05.017

Zhongnan Wang, Zhongchao Liang

{"title":"Fixed-time path following control for automated ground vehicle subject to prescribed performance and lateral tire force constraint.","authors":"Zhongnan Wang, Zhongchao Liang","doi":"10.1016/j.isatra.2025.05.017","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.017","url":null,"abstract":"Large initial errors in prescribed performance control (PPC) methods are prone to generating the excessive inputs. In the context of path-following control for Automated Ground Vehicles (AGVs), such excessive inputs result in large steering angles, which can induce significant tire sideslip angles. Under these conditions, the tires may enter the nonlinear working region, generating uncontrolled lateral tire forces and potentially compromising vehicle stability. To address this issue, this paper proposes a path-following control protocol for AGVs that integrates the prescribed performance constraints with lateral tire force limitations. Specifically, the protocol constrains the lateral force of the front tires by saturating their sideslip angles, ensuring they remain within linear and safe operational thresholds to enhance vehicle stability. Furthermore, unknown parameters of tire dynamics, such as the front tires' cornering stiffness and the norm of the unknown weights in the Radial Basis Function Neural Network (RBFNN) for the rear tires, are estimated using adaptive laws. These enhancements enable the proposed protocol to achieve path-following control objectives while mitigating vehicle instabilities caused by excessive inputs. Finally, the effectiveness of the proposed controller is validated through Hardware-in-the-Loop (HiL) tests, in which enhanced path-following performance and improved vehicle stability are demonstrated.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144133212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributed adaptive sliding mode control with deep recurrent neural network for cooperative robotic system in automated fiber placement. 基于深度递归神经网络的协同机器人自动铺布系统的分布式自适应滑模控制。

ISA transactions Pub Date : 2025-05-17 DOI: 10.1016/j.isatra.2025.05.021

Ningyu Zhu, Wen-Fang Xie

{"title":"Distributed adaptive sliding mode control with deep recurrent neural network for cooperative robotic system in automated fiber placement.","authors":"Ningyu Zhu, Wen-Fang Xie","doi":"10.1016/j.isatra.2025.05.021","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.021","url":null,"abstract":"In this article, a distributed control strategy using an adaptive sliding mode controller (ASMC) is proposed for a 13-degree-of-freedom (13-DOF) cooperative robotic system in the field of automated fiber placement (AFP). A distributed control structure with event-triggered mechanism is developed to guarantee the desired cooperation performance and reduce the communication burden. To address dynamic uncertainties and external disturbances, an adaptive sliding mode control approach is designed for the robots. A deep recurrent neural network (DRNN) is incorporated into the ASMC to estimate lumped system uncertainties. The DRNN features a feedforward structure through three hidden layers and a feedback loop connecting the output layer to the input layer. This architecture demonstrates superior online learning capability and dynamic adaptability compared to shallow feedforward neural networks. To ensure the stability of the controller, the adaptation laws of the neural network parameters are formulated through Lyapunov theorem. The feasibility and advantages of the distributed DRNN-based adaptive sliding mode control strategy have been validated by simulation and experimental results.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sensor fault detection and isolation based on nonlinear adaptive observers: A new approach for dealing with false alarms under partial faults. 基于非线性自适应观测器的传感器故障检测与隔离：局部故障下虚警处理的新方法。

ISA transactions Pub Date : 2025-05-17 DOI: 10.1016/j.isatra.2025.04.034

R F Escobar-Jiménez, V M Salinas-Cortés, L F De Olarte-Delgado, G Besançon, L Torres

{"title":"Sensor fault detection and isolation based on nonlinear adaptive observers: A new approach for dealing with false alarms under partial faults.","authors":"R F Escobar-Jiménez, V M Salinas-Cortés, L F De Olarte-Delgado, G Besançon, L Torres","doi":"10.1016/j.isatra.2025.04.034","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.034","url":null,"abstract":"This paper introduces a fault detection and isolation (FDI) system to diagnose faults in the sensors of an internal combustion engine (ICE). The FDI system relies on two nonlinear adaptive observers (NAOs) to execute analytical redundancy between the actual measurements and estimations. Two mathematical structures are proposed for developing the NAOs, which are used to construct a bank of observers. Such a bank produces estimations of the ratio between experimental and theoretical air-fuel ratios (lambda λ), temperature, and pressure, which are continuously compared with the sensors' measurements, ensuring an uninterrupted diagnosis of the ICE sensors, even in case of total or partial fault. A threshold mechanism is incorporated into the FDI system, which is based on the variance analysis of residuals and the Euclidean norm of a sliding window vector to reduce false alarms during the partial faults diagnosis. The results of numerical tests with experimental data demonstrate the system's ability to accurately detect multiple and simultaneous sensor faults while preventing false alarms.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144121669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Self-triggered load frequency control using T-S fuzzy ADP method for unknown power systems. 未知电力系统的T-S模糊ADP自触发负荷频率控制。

ISA transactions Pub Date : 2025-05-16 DOI: 10.1016/j.isatra.2025.05.018

Zhongyang Ming, Huaguang Zhang, Jiayue Sun

{"title":"Self-triggered load frequency control using T-S fuzzy ADP method for unknown power systems.","authors":"Zhongyang Ming, Huaguang Zhang, Jiayue Sun","doi":"10.1016/j.isatra.2025.05.018","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.05.018","url":null,"abstract":"Frequency oscillations in interconnected power systems result from the inherent randomness of renewable energy production and fluctuating power load demands. Load frequency control (LFC) has thus emerged as a primary challenge for maintaining power system stability and security due to the synchronization requirements of the entire power grid. This paper proposes a novel approach for LFC in multi-area power systems using a self-triggered control-based adaptive dynamic programming (ADP) framework integrated with fuzzy logic systems (FLSs). First, an H∞ distributed controller is developed based on the multi-agent system (MAS) model to mitigate the effects of parameter uncertainties and load disturbances. Additionally, with the increased deployment of phase measurement units and smart meters, real-time system measurements are expected to rise significantly. This trend underscores the importance of event-triggered control (ETC) in optimizing the use of communication resources. However, general-purpose devices often lack the dedicated hardware necessary to verify triggering rules. To address this limitation, we propose a novel self-triggered control (STC) mechanism. This STC calculates the control law based on the current state to determine the next state measurement, thereby eliminating the need for continuous plant monitoring. Simulation results on a multi-area system demonstrate that the proposed adaptive approach performs effectively in frequency regulation under conditions of load disturbance and parameter uncertainty.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0