Dynamic-Calibration/utils/YALMIP-master/extras/@ncvar/ismember.m

68 lines
2.0 KiB
Matlab
Executable File

function varargout = ismember(varargin)
%ISMEMBER Define membership constraint on SDPVAR object
%
% F = ISMEMBER(x,P)
%
% Input
% x : SDPVAR object
% P : MPT polytope object or double
% Output
% F : SET object
%
% Depending on the second argument P, different classes of constraint are
% generated.
%
% If P is a single polytope, the linear constraints [H,K] = double(P);
% F=(H*x <= K) will be created.
%
% If P is a polytope array, then length(P) binary variables will be
% introduced and the constraint will model that x is inside at least one of
% the polytopes.
%
% If P is a DOUBLE, a constraint constraining the elements of x to take one
% of the values in P is created. This will introduce numel(P)*numel(x)
% binary variables
%
% Since the two last constructions are based on big-M formulations, all
% involved variable should have explicit variable bounds.
x = varargin{1};
p = varargin{2};
% Backwards compatibility (this should really be done in another command)
% This code is probably only used in solvemoment
if isa(x,'double')
varargout{1} = any(full(p.basis(:,1)));
return
end
if isa(x,'sdpvar') & isa(p,'sdpvar')
x_base = x.basis;
x_vars = x.lmi_variables;
p_base = x.basis;
p_vars = x.lmi_variables;
% Member at all
varargout{1} = ismember(x.lmi_variables,p.lmi_variables);
if varargout{1}
index_in_x_vars = find(x.lmi_variables == p.lmi_variables);
varargout{1} = full(any(p.basis(:,1+index_in_x_vars),2));
if min(p.dim(1),p.dim(2))~=1
varargout{1} = reshape(YESNO,p.dim(1),p.dim(2));
end
end
return
end
% Here is the real overloaded ismember
switch class(varargin{1})
case 'sdpvar'
varargout{1} = (yalmip('addextendedvariable',mfilename,varargin{:}) == 1);
case 'char'
varargout{1} = ismember_internal(varargin{3},varargin{4});
varargout{2} = struct('convexity','milp','monotonicity','milp','definiteness','positive','extra','marker');
varargout{3} = varargin{3};
end