{"id":15,"date":"2012-05-22T20:07:09","date_gmt":"2012-05-22T18:07:09","guid":{"rendered":"http:\/\/inference.dk\/?page_id=15"},"modified":"2013-12-24T20:03:06","modified_gmt":"2013-12-24T19:03:06","slug":"book","status":"publish","type":"page","link":"https:\/\/inference.dk\/?page_id=15","title":{"rendered":"Book"},"content":{"rendered":"<h3 class=\"mceTemp\" style=\"text-align: left;\">The 2nd edition of <em>Foundations of Fuzzy Control<\/em>\u00a0has the subtitle <em>A Practical Approach<\/em>.\u00a0The textbook emphasizes the practical approach as opposed to new theoretical developments.<\/h3>\n<div id=\"attachment_130\" style=\"width: 96px\" class=\"wp-caption alignright\"><a href=\"https:\/\/inference.dk\/wp-content\/uploads\/2012\/05\/FFC2ns_sm.jpg\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-130\" class=\"wp-image-130    \" title=\"Click to enlarge\" alt=\"\" src=\"https:\/\/inference.dk\/wp-content\/uploads\/2012\/05\/FFC2ns_sm.jpg\" width=\"86\" height=\"131\" srcset=\"https:\/\/inference.dk\/wp-content\/uploads\/2012\/05\/FFC2ns_sm.jpg 300w, https:\/\/inference.dk\/wp-content\/uploads\/2012\/05\/FFC2ns_sm-197x300.jpg 197w\" sizes=\"auto, (max-width: 86px) 100vw, 86px\" \/><\/a><p id=\"caption-attachment-130\" class=\"wp-caption-text\">Second edition, September 2013.<\/p><\/div>\n<p class=\"mceTemp\" style=\"text-align: left;\">The 2nd edition contains the new chapters <em>Gain Scheduling Control<\/em>,\u00a0<em>Fuzzy Models<\/em>, and <em>Demonstration Examples<\/em>. Furthermore, the chapter <em>Performance and Relative Stability<\/em> describes a new procedure for setting the parameters of a PID controller.\u00a0<a title=\"Opens in a new window\" href=\"http:\/\/media.wiley.com\/product_data\/excerpt\/27\/11185062\/1118506227-12.pdf\" target=\"_blank\">Click to see its table of contents<\/a><\/p>\n<p class=\"mceTemp\" style=\"text-align: left;\">Fuzzy gain scheduling is a straightforward extension of the usual PID type controllers in the sense that fuzzy rules can interpolate naturally between PID controllers. The demonstration chapter includes five larger examples that can be used as teaching modules. The chapter on performance reaches farther than mere analysis, that is, it presents a design method that starts from specifications of settling time and overshoot percentage.<\/p>\n<p class=\"mceTemp\" style=\"text-align: left;\">Available from: see the &#8216;<a title=\"Opens in a new window\" href=\"http:\/\/www.wiley.com\/buy\/978-1-118-50622-6\" target=\"_blank\">buy the book page<\/a>&#8216; or <a title=\"Opens in a new window\" href=\"http:\/\/www.bogpriser.dk\/q-978%7C1%7C118%7C50622%7C6\/\" target=\"_blank\">bogpriser.dk<\/a>\u00a0(in Denmark).<\/p>\n<h2 class=\"mceTemp\" style=\"text-align: left;\"><span style=\"font-size: 16px;\">See also the review of the <em>first<\/em> edition by Reza Langari,<\/span><\/h2>\n<ul>\n<li>Langari R 2007 Book Review \u2014\u00a0 Jan Jantzen,\u00a0 Foundations of Fuzzy Control. <em>Artificial Intelligence<\/em> <strong>171<\/strong>, 1116-1117.<\/li>\n<\/ul>\n<p>See the <a title=\"Download\" href=\"https:\/\/inference.dk\/?page_id=86\">Download page<\/a> for corrections and slides for the book.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The 2nd edition of Foundations of Fuzzy Control\u00a0has the subtitle A Practical Approach.\u00a0The textbook emphasizes the practical approach as opposed to new theoretical developments. The 2nd edition contains the new chapters Gain Scheduling Control,\u00a0Fuzzy Models, and Demonstration Examples. Furthermore, the &hellip; <a href=\"https:\/\/inference.dk\/?page_id=15\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"closed","ping_status":"open","template":"onecolumn-page.php","meta":{"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/inference.dk\/index.php?rest_route=\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/inference.dk\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/inference.dk\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/inference.dk\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/inference.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=15"}],"version-history":[{"count":53,"href":"https:\/\/inference.dk\/index.php?rest_route=\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":169,"href":"https:\/\/inference.dk\/index.php?rest_route=\/wp\/v2\/pages\/15\/revisions\/169"}],"wp:attachment":[{"href":"https:\/\/inference.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}