Results 121 to 130 of about 85,002 (312)
Forward-backward linear quadratic stochastic optimal control problem with delay
, 2012 This paper is concerned with one kind of forward-backward linear quadratic stochastic control problem whose system is described by a linear anticipated forward-backward stochastic differential delayed equation. The explicit form of the optimal control is
Huang, J, Li, X, Shi, J
core +1 more source
Supervised Learning for Stochastic Optimal Control
2024 IEEE 63rd Conference on Decision and Control (CDC)CDC ...
Vince Kurtz, Joel W. Burdick
openaire +2 more sources
Advanced Optical Materials, EarlyView.Mono‐ and bilayer MoS2 photodetectors enable wavelength‐selective AC photoresponse and optically driven capacitance modulation under visible illumination. Green excitation produces the strongest cumulative capacitive response, consistent with trap‐mediated charge accumulation at mono/bilayer and metal–MoS2 interfaces.
Pegah Zandi +5 more
wiley +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
A Tale of Two Debt Crises: A Stochastic Optimal Control Analysis [PDF]
Banks should evaluate whether a borrower is likely to default. I apply several techniques in the extensive mathematical literature of stochastic optimal control/dynamic programming to derive an optimal debt in an environment where there are risks on both
Jerome L. Stein
core
Robust mixed H-2/H∞ control for a class of nonlinear stochastic systems
, 2006 The problem of mixed H2/H∞ control is considered for a class of uncertain discrete-time nonlinear stochastic systems. The nonlinearities are described by statistical means of the stochastic variables and the uncertainties are represented by deterministic
Wang, Z, Ho, DWC, Yang, F
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Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
This paper is a successor of [AK08]. Both papers describe the same suite of MATLAB R° routines devised to provide an approximately optimal solution to an infinite horizon stochastic optimal control problem.
Azzato, Jeffrey D., Krawczyk, Jacek B.
core
Robust Utility Maximization in a Stochastic Factor Model [PDF]
We give an explicit PDE characterization for the solution of a robust utility maximization problem in an incomplete market model, whose volatility, interest rate process, and long-term trend are driven by an external stochastic factor process. The robust
Daniel Hernandez–Hernandez +1 more
core
Echinoderm‐Inspired Autonomy for Soft‐Legged Robots
Advanced Robotics Research, EarlyView.Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker +2 more
wiley +1 more source