1 | |
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2 | #ifndef QUADRATICMINIMALIZATOR_H |
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3 | #define QUADRATICMINIMALIZATOR_H |
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4 | |
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5 | #include <cstdlib> |
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6 | #include <itpp/itbase.h> |
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7 | #include <iostream> |
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8 | |
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9 | |
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10 | using namespace itpp; |
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11 | using namespace std; |
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12 | |
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13 | class QuadraticMinimalizator { |
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14 | protected: |
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15 | mat A; |
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16 | mat B; |
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17 | mat Q; |
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18 | mat R; |
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19 | double maxdif; |
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20 | |
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21 | bool test() { |
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22 | if ( !isDiagonal(Q) ) { |
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23 | stringstream e; |
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24 | e << "Matrix Q is not diagonal" << endl; |
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25 | e << Q << endl; |
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26 | it_warning(e.str()); |
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27 | } |
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28 | if ( !isDiagonal(R) ) { |
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29 | stringstream e; |
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30 | e << "Matrix R is not diagonal" << endl; |
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31 | e << R << endl; |
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32 | it_warning(e.str()); |
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33 | } |
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34 | if ( !isPositiveDefinite(Q) ) { |
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35 | stringstream e; |
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36 | e << "Matrix Q is not positive definite" << endl; |
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37 | e << Q << endl; |
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38 | it_warning(e.str()); |
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39 | } |
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40 | if ( !isPositiveDefinite(R) ) { |
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41 | stringstream e; |
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42 | e << "Matrix R is not positive definite" << endl; |
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43 | e << R << endl; |
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44 | it_warning(e.str()); |
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45 | } |
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46 | } |
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47 | |
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48 | public: |
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49 | QuadraticMinimalizator( const mat &A, const mat &B, const mat &Q, const mat &R ) { |
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50 | maxdif = 0.00000001; |
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51 | this->A = A; |
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52 | this->B = B; |
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53 | this->Q = Q; |
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54 | this->R = R; |
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55 | test(); |
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56 | } |
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57 | |
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58 | |
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59 | /** |
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60 | * x(t+1) = Ax(t) + Bu(t) + C |
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61 | * @param horizont |
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62 | * @param C |
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63 | * @return L: u(t) = L [ x(t) 1 ] |
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64 | */ |
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65 | mat L( const int horizont, const mat & C ) { |
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66 | it_warning("Nijak se tam C neprojevuje!!!"); |
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67 | int xdim = A.cols(); |
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68 | int udim = B.cols(); |
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69 | mat sqQ = sqrt(Q); |
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70 | mat sqR = sqrt(R); |
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71 | mat M0, M; |
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72 | mat qrQ; |
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73 | mat Lall, Lc1, Lc2, Lc3, Lx1, Lx2, Lu, L; |
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74 | M0 = concat_vertical( |
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75 | concat_vertical( |
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76 | concat_horizontal( sqQ * B, concat_horizontal( sqQ * A, zeros(xdim, udim) ) ), |
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77 | concat_horizontal( sqR, concat_horizontal( zeros( udim, xdim ), zeros(udim, udim) ) ) |
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78 | ), |
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79 | concat_horizontal( zeros( xdim, xdim + udim ) , sqQ * C) |
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80 | ); |
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81 | |
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82 | M = M0; |
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83 | for (int h = horizont; h >= 0; h --) { |
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84 | qr(M, Lall); |
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85 | |
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86 | Lu = Lall(0, udim-1, 0, udim-1 ); |
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87 | Lx1 = Lall(0, udim-1, udim, udim+xdim-1); |
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88 | Lc1 = Lall(0, udim-1, udim+xdim, udim+xdim ); |
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89 | Lx2 = Lall(udim, udim+xdim-1, udim, udim+xdim-1); |
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90 | Lc2 = Lall(udim, udim+xdim-1, udim+xdim, udim+xdim); |
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91 | Lc3 = Lall(udim+xdim, udim+xdim+xdim-1, udim+xdim, udim+xdim); |
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92 | M = concat_vertical( |
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93 | M0, |
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94 | concat_vertical( |
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95 | concat_horizontal( Lx2 * B, concat_horizontal( Lx2 * A, Lc2 ) ), |
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96 | concat_horizontal( zeros(xdim, xdim + udim), Lc3 ) |
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97 | ) |
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98 | ); |
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99 | } |
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100 | L = concat_horizontal( - inv(Lu) * Lx1, - inv(Lu) * Lc1); |
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101 | return L; |
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102 | } |
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103 | /** |
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104 | * x(t+1) = Ax(t) + Bu(t) |
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105 | * @param horizont |
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106 | * @param C |
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107 | * @return L: u(t) = Lx(t) |
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108 | */ |
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109 | mat L( const int horizont ) { |
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110 | int xdim = A.cols(); |
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111 | int udim = B.cols(); |
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112 | mat sqQ = sqrt(Q); |
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113 | mat sqR = sqrt(R); |
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114 | mat M0, M; |
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115 | mat qrQ; |
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116 | mat Lall, Ls, Lx, Lu, L; |
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117 | M0 = concat_vertical( |
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118 | concat_horizontal( sqQ * B, sqQ * A ), |
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119 | concat_horizontal( sqR, zeros( udim, xdim ) ) |
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120 | ); |
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121 | M = M0; |
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122 | for (int h = horizont; h >= 0; h --) { |
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123 | qr(M, Lall); |
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124 | Lu = Lall(0, udim-1, 0, udim-1); |
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125 | Lx = Lall(udim, udim+xdim-1, udim, udim+xdim-1); |
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126 | Ls = Lall(0, udim-1, udim, udim+xdim-1); |
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127 | M = concat_vertical( |
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128 | M0, |
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129 | concat_horizontal(Lx * B, Lx * A ) |
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130 | ); |
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131 | } |
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132 | L = - inv(Lu) * Ls; |
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133 | return L; |
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134 | } |
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135 | |
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136 | double maxDif( const mat & M1, const mat & M2 ) { |
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137 | return max(max(abs(M1 - M2), 1)); |
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138 | } |
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139 | |
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140 | bool isSymmetric( const mat & M) { |
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141 | return isSymmetric(M, maxdif); |
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142 | } |
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143 | |
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144 | bool isSymmetric( const mat & M, double maxdif ) { |
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145 | mat D = abs(M - M.transpose()); |
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146 | double m = max(max(D, 1)); |
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147 | if ( m < maxdif ) |
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148 | return true; |
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149 | else |
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150 | return false; |
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151 | } |
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152 | |
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153 | bool isDiagonal( const mat M ) { |
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154 | mat D = abs(M); |
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155 | for ( int i = 0; i < M.rows(); i ++ ) { |
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156 | for ( int j = 0; j < M.cols(); j ++ ) { |
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157 | if ( i != j && D(i,j) > maxdif ) { |
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158 | return false; |
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159 | } |
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160 | } |
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161 | } |
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162 | return true; |
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163 | } |
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164 | |
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165 | bool isPositiveDefinite( const mat M ) { |
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166 | int dim = M.rows(); |
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167 | if ( dim != M.cols() ) { |
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168 | stringstream err; |
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169 | err << "Matrix " << M << " is not square"; |
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170 | it_warning(err.str()); |
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171 | } else { |
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172 | for ( int i = dim-1; i >= 0; i-- ) { |
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173 | // subdeterminanty |
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174 | if ( det(M(0,i,0,i)) <= 0 ) { |
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175 | return false; |
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176 | } |
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177 | } |
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178 | return true; |
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179 | } |
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180 | return false; |
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181 | } |
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182 | |
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183 | |
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184 | |
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185 | |
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186 | }; |
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187 | |
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188 | #endif /* QUADRATICMINIMALIZATOR_H */ |
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