{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:28:58Z","timestamp":1648772938596},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Unc. Fuzz. Knowl. Based Syst."],"published-print":{"date-parts":[[1996,12]]},"abstract":"<jats:p> In this paper, we present a complete design framework for an adaptive multiple agent fuzzy constraint-based controller (MAFCC) based on fuzzy penumbra constraint processing in each fuzzy constraint subnetwork collaborating with a connected constraint network and its corresponding semantic modeling in a first-order predicate calculus (FOPC) language, with application to a complex hydraulic system. The concept of \u201cmultiple agent\u201d and \u201cfuzzy constraint subnetwork\u201d in a complex control system is introduced and some basic definitions of penumbra fuzzy constraint processing in a constraint subnetwork and the collaboration with an overall connected constraint network and its semantic modeling are addressed. As a result, a human agent interacts with system agents and allows the constraints to be added or deleted on-line according to the constraints imposed from the outside environment. Near-optimal system performance is accomplished by restricting all the penumbra constraints to be satisfied in each constraint subnetwork simultaneously which are interconnected as a result of constraints that exist between each of them. Following the principle of constraint satisfaction and fuzzy local propagation reasoning, each individual system agent is now constrained to behave in a certain fashion as dictated by the overall constraint network. In addition, the constraint network in MAFCC system provides an update strategy which makes a real time adaptive hydraulic control for all 20 cities possible. <\/jats:p>","DOI":"10.1142\/s0218488596000299","type":"journal-article","created":{"date-parts":[[2004,10,26]],"date-time":"2004-10-26T12:05:18Z","timestamp":1098792318000},"page":"537-551","source":"Crossref","is-referenced-by-count":3,"title":["THE DESIGN OF AN ADAPTIVE MULTIPLE AGENT FUZZY CONSTRAINT-BASED CONTROLLER (MAFCC) FOR A COMPLEX HYDRAULIC SYSTEM"],"prefix":"10.1142","volume":"04","author":[{"given":"CHING-YU","family":"TYAN","sequence":"first","affiliation":[{"name":"Fuzzy Logic Research Laboratory, Department of Electrical Engineering, Duke University, Box 90291, Durham, North Carolina 27708\u20130291, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"PAUL P.","family":"WANG","sequence":"additional","affiliation":[{"name":"Fuzzy Logic Research Laboratory, Department of Electrical Engineering, Duke University, Box 90291, Durham, North Carolina 27708\u20130291, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"DENNIS R.","family":"BAHLER","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Box 8206, North Carolina State University, Raleigh, North Carolina 27695\u20138206, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218488596000299","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T03:03:27Z","timestamp":1565147007000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218488596000299"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1996,12]]},"references-count":0,"journal-issue":{"issue":"06","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1996,12]]}},"alternative-id":["10.1142\/S0218488596000299"],"URL":"https:\/\/doi.org\/10.1142\/s0218488596000299","relation":{},"ISSN":["0218-4885","1793-6411"],"issn-type":[{"value":"0218-4885","type":"print"},{"value":"1793-6411","type":"electronic"}],"subject":[],"published":{"date-parts":[[1996,12]]}}}