Adaptive dynamic programming path tracking control of a tractor- trailer wheeled mobile robot | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Adaptive dynamic programming path tracking control of a tractor- trailer wheeled mobile robot Aliakbar Ghasemzadeh, Roya Amjadifard, Ali Keymasi-Khalaji This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3863165/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Tractor-trailer wheeled mobile robots (TTWMRs) have complex nonlinear dynamics that make their precise trajectory tracking control challenging. This paper investigates an adaptive dynamic programming (ADP) approach using a critical neural network (NN) to address the tracking control for continuous-time TTWMR that is modeled in a suitable affine form. A critical NN approximates the optimal cost function and enables adaptive tuning of the control policy. Decoupled kinematic and dynamic ADP controllers are proposed for integrated path and velocity tracking. For this purpose, tracking error signals are defined for each control loop. Theoretical analysis proves closed-loop stability and convergence. Simulations demonstrate superior tracking performance compared to previous techniques, with lower errors and control efforts. This highlights the benefits of ADP for optimizing TTWMR control despite uncertainties. The adaptive optimal control enables promising capabilities for autonomous applications. Tractor-trailer wheeled mobile robot path tracking adaptive dynamic programming and actor-critic neural network Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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