69 research outputs found
Constrained LQR Using Online Decomposition Techniques
This paper presents an algorithm to solve the infinite horizon constrained
linear quadratic regulator (CLQR) problem using operator splitting methods.
First, the CLQR problem is reformulated as a (finite-time) model predictive
control (MPC) problem without terminal constraints. Second, the MPC problem is
decomposed into smaller subproblems of fixed dimension independent of the
horizon length. Third, using the fast alternating minimization algorithm to
solve the subproblems, the horizon length is estimated online, by adding or
removing subproblems based on a periodic check on the state of the last
subproblem to determine whether it belongs to a given control invariant set. We
show that the estimated horizon length is bounded and that the control sequence
computed using the proposed algorithm is an optimal solution of the CLQR
problem. Compared to state-of-the-art algorithms proposed to solve the CLQR
problem, our design solves at each iteration only unconstrained least-squares
problems and simple gradient calculations. Furthermore, our technique allows
the horizon length to decrease online (a useful feature if the initial guess on
the horizon is too conservative). Numerical results on a planar system show the
potential of our algorithm.Comment: This technical report is an extended version of the paper titled
"Constrained LQR Using Online Decomposition Techniques" submitted to the 2016
Conference on Decision and Contro
Generalized spiked harmonic oscillator
A variational and perturbative treatment is provided for a family of
generalized spiked harmonic oscillator Hamiltonians H = -(d/dx)^2 + B x^2 +
A/x^2 + lambda/x^alpha, where B > 0, A >= 0, and alpha and lambda denote two
real positive parameters. The method makes use of the function space spanned by
the solutions |n> of Schroedinger's equation for the potential V(x)= B x^2 +
A/x^2. Compact closed-form expressions are obtained for the matrix elements
, and a first-order perturbation series is derived for the wave
function. The results are given in terms of generalized hypergeometric
functions. It is proved that the series for the wave function is absolutely
convergent for alpha <= 2.Comment: 14 page
Matrix elements for a generalized spiked harmonic oscillator
Closed-form expressions for the singular-potential integrals
are obtained with respect to the Gol'dman and Krivchenkov eigenfunctions for
the singular potential V(x) = B x^2 + A/x^2, B > 0, A >= 0. These formulas are
generalizations of those found earlier by use of the odd solutions of the
Schroedinger equation with the harmonic oscillator potential [Aguilera-Navarro
et al, J. Math. Phys. 31, 99 (1990)].Comment: 12 pages in plain tex with 1 ps figur
RELATIONS BETWEEN THE MINIMUM VARIANCE CONTROL AND THE OPTIMUM TRANSFER FUNCTION IN THE WIENER SENSE
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