{"product_id":"algorithms-for-pid-controller-2019-anastasios-dounis-9783725848157","title":"Algorithms for PID Controller 2019","description":"\u003cp\u003eThe reprint focuses on advanced PID controller-tuning algorithms in addition to conventional approaches based on mathematical controlled system analysis. Stavrov and al. proposed an improved version of a conventional PID controller based on a quadratic error model. De Moura Oliveira et al. proposed a PSO technique for PID controller design. Alimohammadi et al. introduced a multi-loop Model Reference Adaptive Control, leveraging a NARX model as the reference model, which was integrated with a Fractional Order PID. Alekseeva proposed a PD Steering Controller utilizing the predicted position on tracks for autonomous vehicles driven on slippery roads. A Neural PID controller for Unmanned Aerial Vehicles was presented by Avila et al., based on a Multilayer Perceptron trained with an Extended Kalman Filter. A study of six types of multi-loop model reference (ML-MR) control structures and design schemes for PID control loops is presented by Alagoz and al. Smeresky, Rizzo and Sands explore and analyze deterministic artificial intelligence composed of self-awareness statements along with a novel, optimal learning algorithm. Radac and Lala suggest a solution for the Output Reference Model tracking control problem, based on approximate dynamic programming and the Value Iteration (VI) algorithm for controller learning. A Kalman-Filter-Based tension control system for industrial Roll-to-Roll system is also presented by Hwang et al.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Anastasios Dounis\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 3725848157\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9783725848157\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Mdpi AG\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/25\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 182\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.31lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.61h x 6.69w x 0.63d","brand":"Anastasios Dounis","offers":[{"title":"Hardcover","offer_id":48520086847743,"sku":"9783725848157","price":83.71,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_44232d5e-f66f-4a85-9a32-b6f8b533b2c5.jpg?v=1778740662","url":"https:\/\/www.whiterainbookhouse.com\/products\/algorithms-for-pid-controller-2019-anastasios-dounis-9783725848157","provider":"WR Book House","version":"1.0","type":"link"}