IFAC Journal of Systems and Control最新文献

{"title":"Global temporal observability of linear dynamic systems","authors":"Altay Zhakatayev ,&nbsp;Yuriy Rogovchenko ,&nbsp;Matthias Pätzold","doi":"10.1016/j.ifacsc.2025.100312","DOIUrl":"10.1016/j.ifacsc.2025.100312","url":null,"abstract":"<div><div>In this paper, we introduce a new concept termed global temporal observability for continuous and discrete linear dynamic systems and explore its connection with the classical notion of observability. It is shown that, as a concept, global temporal observability is a generalization of the classical observability. However, as a feature of a dynamic system, global temporal observability is embedded into classical observability. The necessary condition for global temporal observability is presented. Four linear systems were considered to test the proposed concept. Since observability is a binary test, our results matched the results of classical observability analysis when appropriate basis functions are utilized. The advantages and disadvantages of the proposed concept are discussed. The main advantage of global temporal observability is that it restores the state function for the entire time duration in a single step that requires matrix inversion. It is shown that global temporal observability connects state reconstruction, differential equations, and observability concepts.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100312"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928557","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}

{"title":"Air quality analysis and modelling of particulate matter (PM2.5 and PM10) of Ghaziabad city in India using Artificial Intelligence techniques","authors":"Patil Aashish Suhas,&nbsp;Aneesh Mathew,&nbsp;Chinthu Naresh","doi":"10.1016/j.ifacsc.2025.100315","DOIUrl":"10.1016/j.ifacsc.2025.100315","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Air pollution affects 91% of the global population, causing approximately 4.2 million deaths annually, according to the World Health Organization. This study presents a comprehensive analysis of spatiotemporal air quality patterns in Ghaziabad, focusing on seasonal variations, aerosol characteristics, correlation analysis, machine learning-based modelling, sensitivity analysis, and short-term prediction of PM&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;2.5&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; and PM&lt;sub&gt;10&lt;/sub&gt; concentrations using data from four monitoring stations (MS1, MS2, MS3, MS4). Alarming levels of PM&lt;sub&gt;10&lt;/sub&gt; and PM&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;2.5&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;, frequently exceeding permissible standards, were observed, particularly at MS2, where industrial activities led to an 81.29% exceedance rate for PM&lt;sub&gt;10&lt;/sub&gt; with a maximum concentration increase of 447.23%. PM&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;2.5&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; concentrations at MS2 reached &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;360&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;93&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mi&gt;μ&lt;/mi&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;/m&lt;sup&gt;3&lt;/sup&gt;, representing a 501.55% increase. Meteorological circumstances, particularly during winter, significantly increased pollution levels. SO&lt;sub&gt;2&lt;/sub&gt; and ozone concentrations adhered to CPCB (Central Pollution Control Board) guidelines; nonetheless, winter months experienced a significant increase in overall pollutant levels. Positive correlations were identified between PM&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;2.5&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; and PM&lt;sub&gt;10&lt;/sub&gt; with NO&lt;sub&gt;2&lt;/sub&gt; (r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; 0.54, r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; 0.51), CO (r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; 0.51, r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; 0.45), and SO&lt;sub&gt;2&lt;/sub&gt; (r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; 0.18, r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; 0.34), while negative correlations were noted with ozone (r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; −0.02, r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; −0.18), wind speed (r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; −0.17, r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; −0.20), and relative humidity (r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; −0.08, r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; −0.37). Solar radiation also showed a negative correlation (r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; −0.32, r &lt;span&gt;&lt;math&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;/math&gt;&lt;/span&gt; −0.13). The study optimized predictive models for air quality forecasting using historical data. The XGBoost model outperformed others in predicting PM&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;2.5&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; and PM&lt;sub&gt;10&lt;/sub&gt; concentrations, achieving the lowest Mean Absolute Error (MAE) and highest R&lt;sup&gt;2&lt;/sup&gt; values (PM&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;2.5&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;: MAE &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;13&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;24&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mi&gt;μ&lt;/mi&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;/m&lt;su","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100315"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204247","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}

{"title":"Global peak operation of solar photovoltaic and wind energy systems: Current trends and innovations in enhanced optimization control techniques","authors":"Saranya Pulenthirarasa ,&nbsp;Priya Ranjan Satpathy ,&nbsp;Vigna K. Ramachandaramurthy ,&nbsp;Agileswari Ramasamy ,&nbsp;Arulampalam Atputharajah ,&nbsp;Thurga R. Radha Krishnan","doi":"10.1016/j.ifacsc.2025.100304","DOIUrl":"10.1016/j.ifacsc.2025.100304","url":null,"abstract":"<div><div>Solar photovoltaic (PV) and wind energy systems (WESs) are essential for sustainable power generation, yet their performance is hindered by dynamic environmental conditions and inherent non-linearities. This review comprehensively examines advancements in maximum power point tracking (MPPT) techniques, which are crucial for optimizing the efficiency of these systems. The primary goals of this study are to offer a comprehensive evaluation of different MPPT approaches such as conventional, soft computing and hybrid techniques for PV and WESs and evaluating their effectiveness under various environments; to compare these methods depend on important performance metrices including efficiency, complexity, tracking speed, accuracy, sensor requirements and efficient operation, providing a detailed analysis for practical applications; to analyse technical and economic challenges related to MPPT deployment and provide the directions for future study to improve reliability and cost effectiveness of the system by highlighting the gaps in existing studies; and to emphasize the significance of hybrid approaches to achieve enhanced accuracy and faster tracking. By providing a detailed performance analysis and discussing the strengths and weaknesses of each method, this paper aims to guide the development of more efficient and cost-effective solutions, ultimately enhancing the sustainability and reliability of renewable energy technologies.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100304"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768578","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}

{"title":"On the impact of cross-country imitation on climate change: A game-theoretical analysis","authors":"Bouchra Mroué ,&nbsp;Anthony Couthures ,&nbsp;Samson Lasaulce ,&nbsp;Irinel-Constantin Morărescu","doi":"10.1016/j.ifacsc.2025.100309","DOIUrl":"10.1016/j.ifacsc.2025.100309","url":null,"abstract":"<div><div>As far as climate change is concerned, a recurrent question that is asked either at the government or a consumer level is: Why should I make efforts to reduce my CO<span><math><msub><mrow></mrow><mrow><mtext>2</mtext></mrow></msub></math></span> emission levels whereas the others will not make these efforts? The present paper provides qualitative elements to this question when asked at the government level. More precisely, we assume that each country wants to maximize a tradeoff between an individual benefit brought by emitting CO<span><math><msub><mrow></mrow><mrow><mtext>2</mtext></mrow></msub></math></span> and an economical damage due to climate change while being influenced by the reduction strategies of the other countries. The influence term is key for the analysis and enables more virtuous or cooperative behavior. Mathematically speaking, the contribution of this paper is: to propose an abstracted model of a complex decision problem; to integrate an abstracted model of climate change in the game of interest; to conduct the complete Nash equilibrium analysis of the proposed game (existence, uniqueness, expression, quantitative analysis); to conduct a detailed numerical analysis to quantify the discussed aspects such as the impact of cross-country imitation on the atmospheric global temperature in 2100.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100309"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891943","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}

{"title":"Hybrid adaptive Sine Cosine Algorithm with Finite-Time Prescribed Performance PID Control for pneumatic servo systems","authors":"Addie Irawan,&nbsp;Mohd Helmi Suid,&nbsp;R.M.T. Raja Ismail,&nbsp;Mohd Falfazli Mat Jusof,&nbsp;Mohd Iskandar Putra Azahar,&nbsp;Ahmad Nor Kasruddin Nasir","doi":"10.1016/j.ifacsc.2025.100310","DOIUrl":"10.1016/j.ifacsc.2025.100310","url":null,"abstract":"<div><div>This paper addresses the challenge of enhancing pressure regulation in pneumatic servo systems, specifically for proportional valve-controlled double-acting pneumatic cylinders (PPVDC). A Hybrid Nonlinear Sine Cosine Algorithm (HNSCA) is proposed to optimize a Finite-Time Prescribed Performance Control (FT-PPC) integrated with a PID controller. The HNSCA combines the Nonlinear Sine Cosine Algorithm (NSCA) with Adaptive Safe Experimentation Dynamics (ASED) to fine-tune FT-PPC-PID parameters, achieving rapid transient response and system stability. Simulation results demonstrate significant improvements over other optimization variants like ESCA and ASCA, including a 96% faster rise time, 61.9% reduction in settling time, and 6.4% lower overshoot. Additionally, HNSCA reduced pressure oscillations by 25%–30%, lowered power consumption by 20%–30%, and achieved up to a 50% reduction in energy consumption under a 10 kg load. It also enhanced subsonic flow stability by 10%–15% under choked flow conditions. These advancements offer practical benefits for industries utilizing pneumatic systems, such as manufacturing and robotics, by providing more precise control, reducing energy costs, and extending equipment lifespan. The findings highlight the effectiveness of the proposed approach in error minimization and long-term stability for pneumatic servo systems.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100310"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878484","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}

{"title":"A bottom-up approach for searching for sparse controllers with a budget","authors":"Vasanth Reddy ,&nbsp;Suat Gumussoy ,&nbsp;Almuatazbellah Boker ,&nbsp;Hoda Eldardiry","doi":"10.1016/j.ifacsc.2025.100308","DOIUrl":"10.1016/j.ifacsc.2025.100308","url":null,"abstract":"<div><div>In this paper, we propose a bottom-up approach for designing sparse static output-feedback controllers for large-scale systems. Starting from an existing sparse controller, we iteratively add feedback channels using a gradient-based predictor, optimizing the closed-loop <span><math><mrow><msub><mrow><mi>H</mi></mrow><mrow><mn>2</mn></mrow></msub><mo>−</mo></mrow></math></span>norm within a predefined budget constraint. The proposed method significantly reduces the computational burden compared to traditional top-down approaches, which rely on pruning centralized controllers. We prove the convergence of our method and demonstrate its scalability through benchmarks, achieving comparable or better performance with significantly less computation time. This approach paves the way for efficient and scalable control design in distributed systems.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100308"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189379","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}

{"title":"Plug-in module for controller reconfiguration based on latent variables and the Youla-Kucera parameterization","authors":"Patricio Luppi ,&nbsp;Lautaro Braccia ,&nbsp;David Zumoffen","doi":"10.1016/j.ifacsc.2025.100302","DOIUrl":"10.1016/j.ifacsc.2025.100302","url":null,"abstract":"<div><div>This paper presents the design of a plug-in module to address the problem of controller reconfiguration in industrial processes. The proposal is based on a multi-controller switching philosophy, where the modification of an interpolation signal defines the combination of the control actions of each controller. The contribution is based on the integration of two methodologies. On the one hand, a multivariable feedback control design approach, using the concepts of control allocation and measurement combination. On the other hand, the mapping of a set of linear stabilizing controllers onto a multi-controller, based on the Q-parameter from the Youla-Kucera theory. In this context, the set of controllers can be designed independently. Moreover, the stability is guaranteed subject to an arbitrary switching between different stabilizing controllers. The procedure is evaluated by considering two relevant scenarios of control reconfiguration: 1- a complete modification of the input–output pairing, and 2- the replacement of a classical controller with a new advanced control strategy. Based on the computational simulation of two case studies from the literature, it is shown that the plug-in module carries out the reconfiguration of the control structure, improving the dynamic performance and ensuring the stability of the system. The design is based on the nominal controller, which is not modified during the reconfiguration process. In addition, it can be easily implemented online, connected to input–output terminals of the existing controller.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100302"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698000","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}

{"title":"Neural networks meet PID control: Revolutionizing manipulator regulation with gravitational compensation","authors":"Marco Moran-Armenta ,&nbsp;Jorge Montoya-Cháirez ,&nbsp;Francisco G. Rossomando ,&nbsp;Emanuel Slawiñski ,&nbsp;Vicente Mut ,&nbsp;Fernando A. Chicaiza ,&nbsp;Javier Moreno-Valenzuela","doi":"10.1016/j.ifacsc.2025.100306","DOIUrl":"10.1016/j.ifacsc.2025.100306","url":null,"abstract":"<div><div>This research proposes an innovative approach to improve the performance of regulation control systems in manipulators by combining PID control with gravitational compensation using neural networks. In this work, a modified PID control structure that incorporates a gravitational compensation term given by a neural network is introduced, thus allowing a more precise and adaptive response to gravitational and dynamic perturbations of the system. Furthermore, the controller’s performance is evaluated through real-time experiments in two manipulators, comparing its performance with the same structure, one without integral action, another without neural compensation and the last one assuming that the gravity vector is known. The results show a significant improvement in system regulation accuracy, demonstrating the proposed controller’s effectiveness.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100306"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829295","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}

{"title":"Finite-time boundedness of piecewise affine systems","authors":"Sana BenKhaled ,&nbsp;Cédric Delattre ,&nbsp;Bessem Bhiri ,&nbsp;Michel Zasadzinski ,&nbsp;Kamel Abderrahim","doi":"10.1016/j.ifacsc.2025.100303","DOIUrl":"10.1016/j.ifacsc.2025.100303","url":null,"abstract":"<div><div>This paper deals with the finite-time boundedness of an important class of hybrid systems, namely piecewise affine (PWA) systems. The main results in this article are sufficient conditions for finite-time boundedness and finite-time stabilization of PWA systems. Our approach uses a Lyapunov-like function and the S-procedure to obtain these conditions which are formulated in terms of LMIs. A numerical example illustrates the effectiveness of the proposed approach.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100303"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683560","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}

{"title":"Fair closed-loop policies for fostering the energy transition: A control-oriented approach","authors":"Eugenia Villa ,&nbsp;Oriana Guagliardi ,&nbsp;Valentina Breschi ,&nbsp;Mara Tanelli","doi":"10.1016/j.ifacsc.2025.100317","DOIUrl":"10.1016/j.ifacsc.2025.100317","url":null,"abstract":"<div><div>The urgency of implementing effective policies to foster the energy transition and mitigate the devastating effects of climate change is undeniable. Nonetheless, the success of these policies is also closely intertwined with the necessity of preserving a delicate social balance when allocating resources toward a widespread transition. In response to this issue, we propose to adopt the recently proposed Fair-MPC scheme to introduce a control-oriented framework to aid policymakers in designing sustainability policies that are both effective and fair and evaluating existing policies by looking at these two key facets of sustainable technology diffusion. The modular design of our tool enables the assessment of fairness objectives integrated within the policy design strategy, striking a balance between impartial <em>equality</em> and inclusive <em>equity</em> with the imperative of cost minimization and effective diffusion of the transition process. Meanwhile, the flexibility of the framework makes it applicable to various scenarios, potentially representing a key tool in supporting all sectors involved in the energy transition. In this work, we prove its usability through its data-driven application in the context of the green mobility transition. Our analyses reveal that pursuing fairness objectives leads to a decrease (even if minor) in diffusion performance, underscoring the delicate balance between these frequently conflicting goals and highlighting the necessity of having quantitative tools to navigate the complexities characterizing social contexts.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100317"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230521","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}