IET Control Theory and Applications最新文献

{"title":"An edge-based event-triggered delayed distributed algorithm for economic dispatch in smart grids","authors":"Chengze Ren,&nbsp;Xuguang Hu,&nbsp;Haoran Zhao,&nbsp;Qiuye Sun","doi":"10.1049/cth2.12720","DOIUrl":"10.1049/cth2.12720","url":null,"abstract":"<p>This paper presents an edge-based event-triggered delay distributed algorithm for solving the economic dispatch problem (EDP) in smart grids. The objective of the EDP is to minimize the total generation cost by allocating power to individual generators, each with its local generation constraint. To save the overhead of communication resources between agents, an edge-based event-triggered mechanism is suggested. By setting distinct triggering thresholds for each communication edge, the agent may efficiently regulate the communication frequency among all neighbors. However, in practice, owing to the instability of the network, the agent may receive information regarding its neighbors, leading to communication lags for every communication link. The virtual agent technique and double-stochastic matrix augmentation technique provide an equivalent delay-free EDP. It is demonstrated that the proposed algorithm can asymptotically converge to the global optimal solution as long as the communication delay is arbitrary, time-varying, and random, but bounded. Objective and clear evidence is provided through a case study in smart grids to verify the algorithm's feasibility.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 13","pages":"1729-1738"},"PeriodicalIF":2.2,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12720","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664185","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}

{"title":"Complex-step derivative-based extended Kalman filter for state estimation in twin rotor MIMO system","authors":"İbrahim Mucuk,&nbsp;Ayhan Özdemir","doi":"10.1049/cth2.12715","DOIUrl":"10.1049/cth2.12715","url":null,"abstract":"<p>This paper presents the design of a complex-step extended Kalman filter (CS-EKF) to estimate the states of the twin-rotor MIMO system (TRMS) which is a non-linear system. Since the model of TRMS is quite complex and contains discontinuous functions, it is very difficult to calculate the Jacobian matrix in the TRMS analytically by hand. This makes it difficult to implement control methods that require Jacobian matrix calculation for TRMS. Herein, to calculate the Jacobian matrix, the CS-EKF uses the complex-step derivative approach, which is a numerical technique and offers near-analytical accuracy in a single function evaluation. The effectiveness of the CS-EKF is demonstrated through simulation and real-time experiments. Also, The CS-EKF is compared to the finite-difference extended Kalman filter (FD-EKF) and the unscented Kalman filter (UKF) in terms of estimation accuracy, computational load, and ease of implementation.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 15","pages":"1990-2002"},"PeriodicalIF":2.2,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12715","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141665993","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}

{"title":"Observer-based finite-time time-varying elliptical formation control of a group mobile mecanum-wheeled omnidirectional vehicles for collaborative wildfire monitoring","authors":"Joewell Mawanza","doi":"10.1049/cth2.12713","DOIUrl":"10.1049/cth2.12713","url":null,"abstract":"<p>This article addresses the issue of collaborative wildfire monitoring using a group mobile mecanum-wheeled omnidirectional vehicles (MWOVs) affected by nonlinear uncertainties and external disturbances. By integrating finite-time extended state observers (FTESO) and backstepping nonsingular fast terminal sliding mode (BNFTSM) control method, an observer-based finite-time time-varying elliptical formation control scheme is proposed for a group of MWOVs tasked with monitoring the propagation of wildfires in an elliptical pattern. First, the FTESO is employed to estimate the unavailable velocity system states and the lumped disturbances. Then, a novel nonsingular fast terminal sliding surface, enhanced with an exponential term, is introduced to improve the convergence rate. Through the Lyapunov theorem, the convergence of position and velocity cooperative tracking errors to zero in fast finite-time is demonstrated. To showcase the effectiveness of the proposed control scheme, comparative simulation results are presented.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 13","pages":"1669-1685"},"PeriodicalIF":2.2,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12713","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141667217","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}

{"title":"A hybrid energy storage array group control strategy for wind power smoothing","authors":"Tong Tong,&nbsp;Le Wei,&nbsp;Yuanye Chen,&nbsp;Fang Fang","doi":"10.1049/cth2.12698","DOIUrl":"10.1049/cth2.12698","url":null,"abstract":"<p>With the increase of wind power generation, the safety and economy of power system operations are greatly influenced by the intermittency and fluctuation of wind power. To take the advantage of the complementary characteristics between different energy storage devices, a Hybrid Energy Storage System (HESS) consisting of Battery Energy Storage System (BESS) and Flywheel Energy Storage System (FESS) can alleviate the uncertainty of wind power. This article has proposed a coordinated control strategy through group consensus algorithm based on Model Predictive Control (MPC) for Hybrid Energy Storage Array (HESA) to smooth wind power fluctuations. To allocate power commands to the FESS and BESS, the fluctuation of wind power output is extracted with different frequency domain characteristics as instructions by Empirical Mode Decomposition (EMD) technology. Moreover, a group consensus algorithm based on MPC is proposed to complete the adaptive power allocation of energy storage units. Eventually, the actual wind farm data is used for the simulation to verify the effect of control strategy proposed in this paper. It can be seen that the developed group consensus algorithm based on MPC can cope with different frequency power commands, avoid overcharging and discharging of energy storage media, and smooth wind power effectively.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 17","pages":"2267-2276"},"PeriodicalIF":2.2,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12698","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673003","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}

{"title":"Closed-loop stability analysis of deep reinforcement learning controlled systems with experimental validation","authors":"Mohammed Basheer Mohiuddin,&nbsp;Igor Boiko,&nbsp;Rana Azzam,&nbsp;Yahya Zweiri","doi":"10.1049/cth2.12712","DOIUrl":"https://doi.org/10.1049/cth2.12712","url":null,"abstract":"<p>Trained deep reinforcement learning (DRL) based controllers can effectively control dynamic systems where classical controllers can be ineffective and difficult to tune. However, the lack of closed-loop stability guarantees of systems controlled by trained DRL agents hinders their adoption in practical applications. This research study investigates the closed-loop stability of dynamic systems controlled by trained DRL agents using Lyapunov analysis based on a linear-quadratic polynomial approximation of the trained agent. In addition, this work develops an understanding of the system's stability margin to determine operational boundaries and critical thresholds of the system's physical parameters for effective operation. The proposed analysis is verified on a DRL-controlled system for several simulated and experimental scenarios. The DRL agent is trained using a detailed dynamic model of a non-linear system and then tested on the corresponding real-world hardware platform without any fine-tuning. Experiments are conducted on a wide range of system states and physical parameters and the results have confirmed the validity of the proposed stability analysis (https://youtu.be/QlpeD5sTlPU).</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 13","pages":"1649-1668"},"PeriodicalIF":2.2,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12712","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142123380","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}

{"title":"UAV cluster geometric information fusion cooperative positioning algorithm with LEO satellite system","authors":"Chengkai Tang,&nbsp;Wenbo Wang,&nbsp;Lingling Zhang,&nbsp;Chen Wang","doi":"10.1049/cth2.12708","DOIUrl":"https://doi.org/10.1049/cth2.12708","url":null,"abstract":"<p>With the rapid development of unmanned aerial vehicle (UAV) clusters, they will become the main means in urban transportation, traffic monitoring and other fields. The positioning accuracy of UAV clusters is the core basis of the application, this paper proposes a UAV cluster information geometry fusion positioning method based on low-orbit satellite system, which uses the geometric relationship between UAV clusters to transform the low-orbit constellation navigation information of each UAV into an information geometry probability model, reducing the influence of the low-orbit satellite system time asynchrony, and through Kullback–Leibler average fusion to achieve UAV cluster real-time high-precision positioning. The method effectively solves the problem caused by the easy loss of GNSS signals in the obscured environment, and significantly improves the reliability and stability of UAV cluster positioning in urban environments. Comparing the method of this paper with the existing UAV fusion navigation methods in terms of positioning accuracy stability, positioning real-time and error mutation under the occlusion scenario, the experimental results show that the method of this paper has obvious superiority in the above indexes.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2852-2863"},"PeriodicalIF":2.2,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12708","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142851530","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}

{"title":"Robust distributed Nash equilibrium solution for multi-agent differential graphical games","authors":"Shouxu Zhang,&nbsp;Zhuo Zhang,&nbsp;Rongxin Cui,&nbsp;Weisheng Yan","doi":"10.1049/cth2.12687","DOIUrl":"https://doi.org/10.1049/cth2.12687","url":null,"abstract":"<p>This paper studies the differential graphical games for linear multi-agent systems with modelling uncertainties. A robust optimal control policy that seeks the distributed Nash equilibrium solution and guarantees the leader-following consensus is designed. The weighting matrices rely on modelling uncertainties, leading to the Nash equilibrium solution, and the solution can be obtained by solving a decoupled algebraic Riccati equation. Simulation studies are finally reported to illustrate the effectiveness of proposed policy.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2813-2822"},"PeriodicalIF":2.2,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12687","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862103","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}

{"title":"Event-triggered adaptive output feedback control of unmanned aerial vehicles under hybrid attacks","authors":"Rui Li,&nbsp;Lei Zhang,&nbsp;Yufeng Lu,&nbsp;Chenying Yi,&nbsp;Liangyuan Chen,&nbsp;Yi Su","doi":"10.1049/cth2.12688","DOIUrl":"https://doi.org/10.1049/cth2.12688","url":null,"abstract":"<p>This study addresses the adaptive dynamic output feedback (DOF) control for unmanned aerial vehicle systems subjected to hybrid attacks. These attacks are delineated by two Bernoulli variables, signifying denial-of-service (DoS) and deception attacks, respectively. In an effort to enhance energy efficiency and reduce communication costs in the presence of network delays, the study introduces an innovative probability event-triggering mechanism (PETM). Subsequently, it crafts a DOF controller that operates based on the available measurement outputs. By harnessing Lyapunov stability theory, the study identifies sufficient conditions that guarantee the stability of the system's augmented dynamics. Finally, the efficacy and applicability of the proposed method are underscored through a case study on an unmanned aerial vehicle.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2864-2871"},"PeriodicalIF":2.2,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12688","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862104","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}

{"title":"Finite-time control of DC–AC boost converter: The limit cycle approach","authors":"Meysam Azhdari,&nbsp;Tahereh Binazadeh","doi":"10.1049/cth2.12705","DOIUrl":"https://doi.org/10.1049/cth2.12705","url":null,"abstract":"<p>This paper proposes a novel finite-time limit cycle controller for DC to AC conversion in power boost converters. The stable limit cycle is categorized as a positive limit set. Achieving the control law, based on the concepts of set stability and finite-time stability, is a challenging problem. To fulfill the control objective, a novel sliding manifold is suggested concerning the structure of the wanted limit cycle which facilitates conditions for the development of finite-time stability for the limit cycle. By utilizing the sliding mode control method, a control strategy is proposed that guarantees the desired stable limit cycle is created in the phase plane of the closed-loop system and the phase trajectories reach it in a finite time and remain on it for all future times. This ensures the finite-time generation of the biased sinusoidal oscillations in the output of the power boost converter from a DC input source. The simulation results of a practical boost converter have validated the effectiveness and feasibility of the presented algorithm.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 15","pages":"1948-1957"},"PeriodicalIF":2.2,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12705","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435903","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}

{"title":"Optimising the tumour elimination payoff in cancer therapy","authors":"Nigel J. Burroughs,&nbsp;Mathilde L. C. Leuridan","doi":"10.1049/cth2.12701","DOIUrl":"https://doi.org/10.1049/cth2.12701","url":null,"abstract":"<p>A new payoff function is proposed for cancer treatment optimisation, the tumour elimination payoff (TEP), that incorporates the increase in lifespan if tumour elimination is achieved. The TEP is discounted by drug toxicity and by potential risks, such as metastasis and mutation. An approximation is used for the probability of tumour elimination, <span></span><math>\u0000 <semantics>\u0000 <msup>\u0000 <mi>e</mi>\u0000 <mrow>\u0000 <mo>−</mo>\u0000 <mi>α</mi>\u0000 <mi>N</mi>\u0000 <mo>(</mo>\u0000 <mi>T</mi>\u0000 <mo>)</mo>\u0000 </mrow>\u0000 </msup>\u0000 <annotation>$e^{-alpha N(T)}$</annotation>\u0000 </semantics></math>, giving a terminal payoff with an exponential dependence on the final tumour size <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>N</mi>\u0000 <mo>(</mo>\u0000 <mi>T</mi>\u0000 <mo>)</mo>\u0000 </mrow>\u0000 <annotation>$N(T)$</annotation>\u0000 </semantics></math>. The optimal solutions for this payoff for simple tumour growth models, (logistic and Gompertz growth), are determined. Using Pontryagin's maximum principle it is proved that bang–bang optimal solutions exist with a single switch; specifically delayed treatment and treat-and-stop solutions at maximum tolerated dose (MTD) exist. There is also a singular arc with constant tumour size. Solutions either have a high probability, respectively, low probability of tumour elimination; these correspond to a post-treatment high probability of cure, and a high probability of relapse, respectively. Optimising over the time horizon <span></span><math>\u0000 <semantics>\u0000 <mi>T</mi>\u0000 <annotation>$T$</annotation>\u0000 </semantics></math> results in solutions that are either MTD throughout or no treatment, that is, treatment is either beneficial or detrimental. For the logistic growth model, the treatment benefit phase diagram is derived with respect to the patient's expected increase in lifespan and tumour size.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 13","pages":"1621-1637"},"PeriodicalIF":2.2,"publicationDate":"2024-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12701","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142123363","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}