程ㄎ家絢北м砃

瞶╰参獶絬┦(nolinearly)のぃ絋﹚┦(uncertainly)盽琌北ア毖璶τ祇甶獶絬┦╰参家皌ㄣ眏胺┦(robustness)北竟琌笷ΘΤ北斑ぇ硚τ家絢家(Fuzzy Model)ㄓ家览獶絬┦╰参㎝家絢北竟(Fuzzy Controller)ㄓ矗ㄑ眏胺┦(robustness)醇紌北笶Θ讽叭ぇ硂ㄢTSK家絢のキ︽だ床干纕(Parallel Distributed Compensation (PDC) )芠├矗ㄏ眔醇紌北瞶阶祇甶亥镣Θ剪TanakaΘ┮祇甶醇紌北竟ㄓ北獶絬┦╰参[A29]睼≒╰参articulated vehicle[A30]mobile robot with multiplea modal car
τㄓ醇紌北程竚好铆﹚拜肈硂ㄢョ蔼跌TanakaΘ笲ノLyapunov methodだ猂家絢╰参铆﹚[A28A29]盢家絢北竟铆﹚┦だ猂虏てΘLMI (Linear Matrix Inequality) 拜肈禥北Θセ┕┕琌ぃ龟悔肚参北Linear Quadratic Gaussian ( LQG ) 北瞶阶矗ㄑざ北┦( performance )籔北 ( power ) ぇ丁舦颗非玥 ( trade-off criteria )醇紌北琌矗ㄑ硂贺非玥㎡и纜刚祇甶程ㄎて家絢北竟ㄓ北家絢╰参矗ㄑ铆﹚だ猂眖瞶阶谍贺醇紌北瞶阶ョ矗ㄑ北┦( degree of stability , gain margin ) 籔北秖( power ) ぇ丁舦颗非玥
沮秖Θ┦( energy additive property )祇瞷–╰参( subsystem ) 程ㄎ北竟竒筁家絢睼( Fuzzily blending )盢眔俱╰参程ㄎて家絢北竟τ膀娄и莱ノprinciple of optimality in dynamic programming ㄓ砞璸╰参ぇ程ㄎ家絢北竟( local optimal fuzzy controller )硓筁家絢栋瞶阶( Fuzzy Set Theory ) τ眔╰参ぇ程ㄎ家絢北竟( global optimal fuzzy controller )ノ肚参LQ北瞶阶皌獶絬┦╰参conversion theoremspectral mapping theoremの絬┦计瞶阶ㄓ暗铆﹚だ猂贝癚┮Θ超╰参( resultant closed-loop fuzzy system )ぇ糤痲絛瞅(Gain Margin )
иΘ祇甶程ㄎて家絢北竟(optimal fuzzy controller)ㄓ北家絢╰参(Fuzzy System)眖瓂格家览挡狦祇瞷硂贺程ㄎて醇紌北竟е硉镣ㄏ╰参铆﹚夹(target)玡秈パ瞶阶谍眔ぃ程ㄎて醇紌北ㄏ癹甭家絢╰参(feedback fuzzy system)ㄣ计铆﹚┦(Exponential stable)ㄤぃ砆铆﹚ヴ倒﹚铆﹚(degree of stability )ㄣΤ礚絘糤痲絛瞅(Gain Margin )ョи┮砞璸程ㄎ醇紌北竟膀娄иす砛ㄇ秖ㄏ癹甭╰参笷Θヴ倒﹚铆﹚(degree of stability)の糤痲(loop gain)传ēぇ硂贺程ㄎ醇紌北竟ョ矗ㄑ北┦の北秖舦颗非玥

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