TP Tool: dep2idx(dep) - File Exchange

Code covered by the BSD License

Highlights from
TP Tool

CNO(U1,h,hh,nveletlen,nzavar,... k�zel-NO dekompoz�ci� r-1 dimenzi�ra
[U2,v]=polarorto(U1,polarv) az U1 ponthalmazt burkolja polarv alaku tetra
basis(A, wtype, ia) BASIS Basis of the column space of a matrix
box_decomp(U) BOX_DECOMP
close_decomp(U, n) CLOSE_DECOMP close hull decomposition
coretensor(U, D, dep) Calculate HOSVD core tensor from orthonormal weighting functions and sampled data
decomp(U, wtype) DECOMP Decomposing a matrix with orthonormal columns
dep2idx(dep) DEP2IDX Convert dependency data into indices (used internally)
genhull(U, wtype) GENHULL Generate "hull" matrices from orthonormal matrices
hosvd(T, dim, tol) HOSVD High Order SVD of a multidimensional array
hosvd_lpv(data, dep, gridsize... HOSVD of a discretized lpv model
hull_manip(U, Uhat) HULL_MANIP gives transform to achieve prescribed hull
ino(U) INO - m
lmi_asym(lmi) LMI_ASYM
lmi_asym_decay(lmi, alpha) LMI_ASYM_DECAY
lmi_input(lmi, umax, phi) LMI_INPUT
lmi_solve(lmi) LMI_SOLVE
lmi_stab(A, alpha) LMI_STAB - check lyapunov stab. for polytopic sys. (alpha = decay rate)
lmistruct(S, n) LMI
ndim_expand(A, v) NDIM_EXPAND expand an array in a new dimension by multiplying it with a vector
ndim_fold(M, dim, siz) NDIM_FOLD Restore a matrix into a multidimensional array with the given size
ndim_unfold(T, dim) NDIM_UNFOLD Layout an array in a given dimension to a matrix
no(U) NO 'no' type decomposition of an 'snnn' matrix
nobasis(A, ia) NOBASIS Column space basis with SNNN and NO properties.
norma=closeness(polarv,U1,h,h... U1nxr-es m
opt_decomp(U, Uhat) OPT_DECOMP optimal decomposition to achieve prescribed values
parameter(r,M,Omega); IND2SUB Multiple subscripts from linear index.
pend2_control(x)
pend2_dx(u, x)
pend2_dx(u, x)
pend_control(x)
pend_dx(u, x)
plothull(U, domain) PLOTHULL Plot weighting functions
printtp(S) PRINTTP Print LTI models of a TP model
querylpv(lpv, p) QUERYLPV Query an LPV model at given parameter point
querytp(S, U, domain, p) QUERYTP Query TP model at a given parameter point
queryw1(U, domain, p) QUERYW1 Query weight function values at given parameter point
rnodiff(U, c)
rnoino(U0) RNOINO - m
sampling_dep(f, depidx, domai... SAMPLING_DEP Sampling a (multivariate) function
sampling_func(f, domain, grid... SAMPLING_FUNC Sampling a (multivariate) function
sampling_lpv(lpv, dep, domain... SAMPLING_LPV Sampling an LPV model
sampling_vec(f, domain, grids... SAMPLING_VEC Sampling a vector-vector function
scale_core(D, v) SCALE_CORE Scale each element in a tensor
scale_lpv(D, v) SCALE_LPV Scale each element of an LPV model
shift_core(D, v) SHIFT_CORE Shift the elements of a tensor
shift_lpv(D, v) SHIFT_LPV Shift a sampled LPV model by a vertex system
sinc(x)
sinc(x)
snnn_decomp(U) SNNN_DECOMP snnn decomposition of a matrix with orthogonal columns.
snnnbasis(U) SNNNBASIS Column space basis with SNNN property.
svdtrunc(A, tol) SVDTRUNC Truncated SVD decomposition.
topsys(S, n) TOPSYS Converts a polytopic TP model into psys form
tora_control(x)
tora_dx(u, x)
tp_cl(S, Asize, K) TP_CL C losed loop TP system
tpcontroller(p, x, K, U, doma... TPCONTROLLER Outputs the control signal for a TP controller at a given state
tperror(lpv, S, U, domain, n) TPERROR Calculate the error of the discretized TP model at random points
tprod(S, U) TPROD Tensor product of an ndim-array and multiple matrices
tprod1(S, U, n) TPROD1 Tensor Product of a tensor and a matrix
tptrans(lpv, dep, domain, gri... TPTRANS TP model transformation
wing_control(x)
wing_dx(u, x)
wshift(type,x,p) WSHIFT Shift Vector or Matrix.
hosvd_test.m
hull_test.m
hull_test2.m
hull_test3.m
manip_test.m
manip_test2.m
pend2_design.m
pend2_lmi.m
pend2_lpv.m
pend2_sim.m
pend2_tp.m
pend_design.m
pend_lmi.m
pend_sim.m
pend_tp.m
sampling_test.m
tora_design.m
tora_lmi.m
tora_lpv.m
tora_sim.m
tora_tp.m
wing_design.m
wing_lmi.m
wing_lpv.m
wing_sim.m
wing_tp.m
pend
pend2
tora
wing
View all files

from TP Tool by P. Baranyi, Z. Petres, Sz. Nagy
MATLAB Toolbox providing the functions for TP Model Transformation based Control Design

dep2idx(dep)

function depidx = dep2idx(dep)
%DEP2IDX Convert dependency data into indices (used internally)
%	depidx = DEP2IDX(dep)
%
%	dep    - dependency matrix for an LPV model (0:depends, 1:not depends)
%
%	See also SAMPLING_LPV

[O I P] = size(dep);
depidx = zeros([O I P]);
for i = 1:O
	for j = 1:I
		d = find(dep(i,j,:)>0);
		depidx(i,j,d) = 1:length(d);
	end
end

Highlights from TP Tool

Highlights from
TP Tool