Results 171 to 180 of about 82,726 (225)

Experience-based integral reinforcement learning consensus for unknown multi-agent systems. [PDF]

Sci Rep
Ma L, Zhao H, Chen Y, Gao Y, Yu H.
europepmc   +1 more source

Optimizing Open Radio Access Network Systems with LLAMA V2 for Enhanced Mobile Broadband, Ultra-Reliable Low-Latency Communications, and Massive Machine-Type Communications: A Framework for Efficient Network Slicing and Real-Time Resource Allocation. [PDF]

Sensors (Basel)
Tahir HA, Alayed W, Hassan WU, Do TD.
europepmc   +1 more source

Derivation of Dirac equation from the stochastic optimal control principles of quantum mechanics. [PDF]

Sci Rep
Yordanov V.
europepmc   +1 more source

Adaptive Finite-Time-Based Neural Optimal Control of Time-Delayed Wheeled Mobile Robotics Systems. [PDF]

Sensors (Basel)
Li S, Ren T, Ding L, Liu L.
europepmc   +1 more source

Real-space diffusion theory from quantum mechanics using analytic continuation. [PDF]

Heliyon
Sigalotti LDG, Rendón O, Luévano JR.
europepmc   +1 more source

Stability and control mechanism of nonlinear horizontal vibration for rolling system with gyroscope precession effect. [PDF]

Sci Rep
Sun C, Zhao W, Liu W, Han G, Chen Y, Duan J.   +5 more
europepmc   +1 more source

Simulation and optimal control of stochastic delay differential models for hepatitis C virus epidemics. [PDF]

Sci Rep
Kumar N, Sajid M, Chauhan TS, Chauhan IS.   +3 more
europepmc   +1 more source

A physics-informed neural SDE network for learning cellular dynamics from time-series scRNA-seq data. [PDF]

Bioinformatics
Jiang Q, Wan L.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Hamilton–Jacobi–Bellman Equations

2017
In this chapter we present recent developments in the theory of Hamilton–Jacobi–Bellman (HJB) equations as well as applications. The intention of this chapter is to exhibit novel methods and techniques introduced few years ago in order to solve long-standing questions in nonlinear optimal control theory of Ordinary Differential Equations (ODEs).
Festa, Adriano, Guglielmi, Roberto, Hermosilla, Christopher, Picarelli, Athena, Sahu, Smita, Sassi, Achille, Silva, Francisco J.   +6 more
openaire   +3 more sources

The Hamilton—Jacobi Equation

2001
We already know that canonical transformations are useful for solving mechanical problems. We now want to look for a canonical transformation that transforms the 2N coordinates (q i , p i ) to 2N constant values (Q i , P i ), e.g., to the 2N initial values \((q_{i}^{0},p_{i}^{0})\) at time t = 0.
Walter Dittrich, Martin Reuter
openaire   +1 more source