Results 61 to 70 of about 230,932 (286)
Maximum Principle for Delayed Stochastic Linear-Quadratic Control Problem with State Constraint
Journal of Applied Mathematics, 2013 This paper is concerned with one kind of delayed stochastic linear-quadratic optimal control problems with state constraints. The control domain is not necessarily convex and the control variable does not enter the diffusion coefficient.
Feng Zhang
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Optimal Control of TBCC Engines in Mode Transition
Energies, 2023 This paper mainly studies the optimal control problem of turbine-based combined cycle (TBCC) engines in the mode-transition stage. Based on the TBCC scheme proposed by Xiamen University, an aerothermodynamic model is established as a verification model ...
Zengming He, Junlong Zhang, Hongfei Sun
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On solvability of an indefinite Riccati equation [PDF]
, 2013 This note concerns a class of matrix Riccati equations associated with stochastic linear-quadratic optimal control problems with indefinite state and control weighting costs. A novel sufficient condition of solvability of such equations is derived, based
Du, Kai
core
Single Solid‐State Ion Channels as Potentiometric Nanosensors
Advanced Functional Materials, EarlyView.Single gold nanopores functionalized with mixed self‐assembled monolayers act as solid‐state ion channels for direct, selective potentiometric sensing of inorganic ions (Ag⁺). The design overcomes key miniaturization barriers of conventional ion‐selective electrodes by combining low resistivity with suppressed loss of active components, enabling robust
Gergely T. Solymosi +4 more
wiley +1 more source
Feedback Control Method Using Haar Wavelet Operational Matrices for Solving Optimal Control Problems
Abstract and Applied Analysis, 2013 Most of the direct methods solve optimal control problems with nonlinear programming solver. In this paper we propose a novel feedback control method for solving for solving affine control system, with quadratic cost functional, which makes use of only ...
Waleeda Swaidan, Amran Hussin
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On the Design of LQR Kernels for Efficient Controller Learning
, 2017 Finding optimal feedback controllers for nonlinear dynamic systems from data is hard. Recently, Bayesian optimization (BO) has been proposed as a powerful framework for direct controller tuning from experimental trials. For selecting the next query point
Hennig, Philipp +3 more
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Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Using block pulse functions for seismic vibration semi-active control of structures with MR dampers
Results in Physics, 2018 This article applied the idea of block pulse functions in the semi-active control of structures. The BP functions give effective tools to approximate complex problems.
Saeed Rahimi Gendeshmin, Daniel Davarnia
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Optimal adaptive control for a class of stochastic systems [PDF]
, 1994 We study linear-quadratic adaptive tracking problems for a special class of stochastic systems expressed in the state-space form. This is a long-standing problem in the control of aircraft flying through atmospheric turbulence.
Bagchi, Arunabha, Chen, Han-Fu
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Tropical Kraus maps for optimal control of switched systems
, 2017 Kraus maps (completely positive trace preserving maps) arise classically in quantum information, as they describe the evolution of noncommutative probability measures.
Gaubert, Stéphane, Stott, Nikolas
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