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RISChannel coordination in logistics service supply chain under service integrator's fairness concerns
A fast convergent numerical method for matrix sign function with application in SDEs
be constructed. Finally, the application of the
given approach in numerical solution of stochastic differential equations and in solving algebraic
Riccati equations is pointed out...
Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics
of the augmented system. Using the quadratic structure of the value function, a Bellman equation and an augmented algebraic Riccati equation (ARE) for solving the LQT are derived. In contrast to the standard solution of the LQT, which requires the solution...
Lossless audio compression in the new IEEE Standard for Advanced Audio Coding
Pulsed power options for large EM launchers
A Computational Study of Interval-Valued Matrix Games
Approaches for candidate document retrieval
Optimal Tracking Control for Linear Discrete-time Systems Using Reinforcement Learning
This paper presents an online solution to the
infinite-horizon linear quadratic tracker (LQT) using
reinforcement learning. It is first assumed that the value
function for the LQT is quadratic in terms ...
A numerical approximation for solving the fractional-order Riccati equation
In this paper, a numerical approximation for solving fractional Riccati equation is proposed. Our numerical method is based on fractional-order Muntz–Legendre functions to obtain a numerical approximation of unknown functions. Also we use Caputo...