Optimal control of linearly constrained linear systems via state parametrization
β Scribed by V. Yen; M. Nagurka
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 634 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0143-2087
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β¦ Synopsis
This paper presents a general computational tool for determining the near-optimal trajectories of linear, lumped parameter, dynamic systems subjected to linear constraints. In the proposed approach each state variable is approximated by the sum of a third-order polynomial and a finite term Fourier-type series. This enables a linearly constrained optimal control problem to be converted into a linearly constrained mathematical programming problem. Simulation results demonstrate that the approach accurately predicts the optima1 performance index and the optima1 state and control trajectories.
π SIMILAR VOLUMES
Two indirect adaptive linearizing controllers are proposed, in continuous time, for the class of non-linear systems which are linearly parametrized and which can be linearized by state feedback through a parametrized diffeomorphism. In each case the stability of the closed loop is analysed in detail
A bounded feedback control for asymptotic stabilization of linear systems is derived. The designed control law increases the feedback gain as the controlled trajectory converges towards the origin. A sequence of invariant sets of decreasing size, associated with a (quadratic) Lyapunov function, are