{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:36:41Z","timestamp":1761176201799,"version":"build-2065373602"},"reference-count":15,"publisher":"World Scientific Pub Co Pte Ltd","issue":"05","funder":[{"DOI":"10.13039\/501100017649","name":"Hong Kong Government","doi-asserted-by":"publisher","award":["RGC No. 14201621"],"award-info":[{"award-number":["RGC No. 14201621"]}],"id":[{"id":"10.13039\/501100017649","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Un. Sys."],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>The data-driven output regulation problem via internal model principle has been studied by both policy-iteration method and value-iteration method. But the results were limited to single-input single-output linear systems with zero input-output transmission matrix. Recently, we have extended the existing results to multi-input multi-output linear systems with nonzero input-output transmission matrix and improved the algorithm by value-iteration method. Since the policy-iteration method is simpler and has a much faster convergence speed than the value-iteration method, in this paper, we further establish the results parallel to the value-iteration work by the policy-iteration method. Compared with the existing policy-iteration results, we are able to handle multi-input multi-output linear systems with nonzero input-output transmission matrix. Moreover, we further improve the existing policy-iteration algorithm by significantly reducing the computational cost and weakening the solvability conditions. A numerical example is used to illustrate the advantages of the improved algorithm.<\/jats:p>","DOI":"10.1142\/s230138502544008x","type":"journal-article","created":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T02:17:00Z","timestamp":1754014620000},"page":"1395-1402","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Optimal Output Regulation for Unknown Linear Systems via Internal Model Principle and Policy Iteration"],"prefix":"10.1142","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6013-4380","authenticated-orcid":false,"given":"Liquan","family":"Lin","sequence":"first","affiliation":[{"name":"Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, P. R. 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