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Regulator 的代码
lqdelay.m
function [C,D0,D1,D2]=lqdelay(A0,A1,B,delay,M,N)
%LQDELAY calculates coefficients of the explicit solution
% of the linear quadratic regulator problem for systems with delays.
%
% For the syst
dlqr.m
function [k,s,e] = dlqr(a,b,q,r,nn)
%DLQR Linear quadratic regulator design for discrete-time systems.
% [K,S,E] = DLQR(A,B,Q,R) calculates the optimal feedback gain
% matrix K such that the feed
lqrd.m
function [k,s,e] = lqrd(a,b,q,r,nn,Ts)
%LQRD Discrete linear quadratic regulator design from continuous
% cost function.
% [K,S,E] = LQRD(A,B,Q,R,Ts) calculates the optimal feedback gain
dlqr.m
function [k,s,e] = dlqr(a,b,q,r,nn)
%DLQR Linear quadratic regulator design for discrete-time systems.
% [K,S,E] = DLQR(A,B,Q,R) calculates the optimal feedback gain
% matrix K such that the feed
lqrd.m
function [k,s,e] = lqrd(a,b,q,r,nn,Ts)
%LQRD Discrete linear quadratic regulator design from continuous
% cost function.
% [K,S,E] = LQRD(A,B,Q,R,Ts) calculates the optimal feedback gain
lqry.m
function [k,s,e] = lqry(a,b,c,d,q,r)
%LQRY Linear quadratic regulator design with output weighting
% for continuous-time systems.
%
% [K,S,E] = LQRY(A,B,C,D,Q,R) calculates the optimal feedback
%
dlqry.m
function [k,s,e] = dlqry(a,b,c,d,q,r)
%DLQRY Linear quadratic regulator design with output weighting for
% discrete-time systems.
%
% [K,S,E] = DLQRY(A,B,C,D,Q,R) calculates the optimal feedback
lqry.m
function [k,s,e] = lqry(a,b,c,d,q,r)
%LQRY Linear quadratic regulator design with output weighting
% for continuous-time systems.
%
% [K,S,E] = LQRY(A,B,C,D,Q,R) calculates the optimal feedback
%
dlqry.m
function [k,s,e] = dlqry(a,b,c,d,q,r)
%DLQRY Linear quadratic regulator design with output weighting for
% discrete-time systems.
%
% [K,S,E] = DLQRY(A,B,C,D,Q,R) calculates the optimal feedback
lqry.m
function [k,s,e] = lqry(a,b,c,d,q,r)
%LQRY Linear quadratic regulator design with output weighting
% for continuous-time systems.
%
% [K,S,E] = LQRY(A,B,C,D,Q,R) calculates the optimal feedback
%