{"title":"Exact Predictor Feedback for Multi-Input Systems","authors":"Yang Zhu, M. Krstić","doi":"10.2307/j.ctvrf8c6w.12","DOIUrl":null,"url":null,"abstract":"This chapter presents the exact predictor feedback for deterministic multi-input LTI systems with distinct discrete input delays. This offers a PDE-based framework for compensation for multi-input distinct delays and lays a foundation for adaptive control in later chapters. In the PDE-based framework to deal with the discrete multi-input delays, the problem is formulated as a cascade between several first-order transport PDEs (accounting for the distinct delayed inputs) and an ODE (accounting for the original plant). This problem is solved using backstepping to design a prediction-based controller. The key idea of this prediction technique is to replace future inputs involved in the state predictions computation by their closed-loop expressions.","PeriodicalId":201486,"journal":{"name":"Delay-Adaptive Linear Control","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Delay-Adaptive Linear Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2307/j.ctvrf8c6w.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This chapter presents the exact predictor feedback for deterministic multi-input LTI systems with distinct discrete input delays. This offers a PDE-based framework for compensation for multi-input distinct delays and lays a foundation for adaptive control in later chapters. In the PDE-based framework to deal with the discrete multi-input delays, the problem is formulated as a cascade between several first-order transport PDEs (accounting for the distinct delayed inputs) and an ODE (accounting for the original plant). This problem is solved using backstepping to design a prediction-based controller. The key idea of this prediction technique is to replace future inputs involved in the state predictions computation by their closed-loop expressions.