Linear quadratic problems with indefinite cost for discrete time systems
SIAM Journal on Matrix Analysis and Applications
H2 optimal control
Stochastic Linear Quadratic Regulators with Indefinite Control Weight Costs
SIAM Journal on Control and Optimization
Indefinite Stochastic Linear Quadratic Control and Generalized Differential Riccati Equation
SIAM Journal on Control and Optimization
Discrete-time Indefinite LQ Control with State and Control Dependent Noises
Journal of Global Optimization
Indefinite Stochastic Linear Quadratic Control with Markovian Jumps in Infinite Time Horizon
Journal of Global Optimization
Collecting commonsense experiences
Proceedings of the 2nd international conference on Knowledge capture
Markowitz's Mean-Variance Portfolio Selection with Regime Switching: A Continuous-Time Model
SIAM Journal on Control and Optimization
Near-optimal controls of random-switching LQ problems with indefinite control weight costs
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Hi-index | 22.15 |
In this paper we consider the stochastic optimal control problem of discrete-time Markov jump with multiplicative noise linear systems. The performance criterion is assumed to be formed by a linear combination of a quadratic part and a linear part in the state and control variables. The weighting matrices of the state and control for the quadratic part are allowed to be indefinite. We present a necessary and sufficient condition under which the problem is well posed and a state feedback solution can be derived from a set of coupled generalized Riccati difference equations interconnected with a set of coupled linear recursive equations. For the case in which the quadratic-term matrices are non-negative, this necessary and sufficient condition can be written in a more explicit way. The results are applied to a problem of portfolio optimization.