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261
Thermal Diffusivity Identification of Distributed Parameter Systems to Sea Ice
Published 2013-01-01“…A method of optimal control is presented as a numerical tool for solving the sea ice heat transfer problem governed by a parabolic partial differential equation. …”
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262
Optimal Covid-19 Control on Effectiveness of Detection Campaign and Treatment
Published 2025-04-01“…We prove the global stability of the Disease-Free Equilibrium (DFE) and the existence of optimal control and trajectories of the model. In the optimal control problem, we bring the system back to the DFE. …”
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263
Complete Solutions to General Box-Constrained Global Optimization Problems
Published 2011-01-01“…Applications to a class of constrained optimal control problems are discussed. Particularly, an analytical form of the optimal control is expressed. …”
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264
Event-Triggered Asynchronous Dissipative Control for Markov Jump Systems With Unknown Probabilities
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265
An Optimal Investment Strategy and Multiperiod Deposit Insurance Pricing Model for Commercial Banks
Published 2018-01-01“…We employ the method of stochastic optimal control to derive the optimal investment strategy for maximizing an expected exponential utility of a commercial bank’s capital at some future date T>0. …”
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266
Robust Trajectory Tracking of Uncertain Systems via Adaptive Critic Learning
Published 2022-01-01“…To realize the optimal control, the derived Hamilton–Jacobi–Bellman equation (HJBE) is solved by training a critic neural network (CNN). …”
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267
Multiple Control Strategies for Prevention of Avian Influenza Pandemic
Published 2014-01-01“…We completely characterized the optimal control and compute numerical solution of the optimality system by using an iterative method.…”
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268
Fully Coupled Mean-Field Forward-Backward Stochastic Differential Equations and Stochastic Maximum Principle
Published 2014-01-01“…Then we discuss the stochastic optimal control problems of mean-field FBSDEs. The stochastic maximum principles are derived and the related mean-field linear quadratic optimal control problems are also discussed.…”
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269
Asymptotic Behavior of an Optimal Investment-Reinsurance Problem with General Utility Functions
Published 2022-01-01“…It is usually extremely difficult to derive an analytical solution to the Hamilton-Jacobi-Bellman (HJB) equation for some optimal control problems under general utility functions, while this paper provides a dual control method to solve the HJB equation for an optimal investment-reinsurance problem with general utility functions. …”
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270
Analysis and Optimization of Drug Resistant an Phase-Specific Cancer
Published 2005-07-01“…While the first one, of a finite dimension, can have any form, the second one is infinite-dimensional and tridiagonal. Then the optimal control problem is defined in $l^1$ space. To derive necessary conditions for optimal control, the model description is transformed into an integrodifferential one.…”
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271
Real-Time Trajectory Planning and Control for Constrained UAV Based on Differential Flatness
Published 2022-01-01“…The trajectory planning of UAV with nonholonomic constraints is usually taken as differential algebraic equation to solve the optimal control problem of functional extremum under the condition of inequality constraints. …”
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272
Modeling and Simulation Based on the Hybrid System of Leasing Equipment Optimal Allocation
Published 2015-01-01“…Modeling of the hybrid system of leasing equipment optimal allocation and its optimal control methods are put forward based on the hybrid characteristics of succession and dispersion. …”
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273
Characterization and Enhancement of Flight Planning Predictability under Wind Uncertainty
Published 2019-01-01“…A novel study is presented aiming at characterizing and illustrating potential enhancements in flight planning predictability due to the effects of wind uncertainty. A robust optimal control methodology is employed to calculate robust flight plans. …”
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274
Superconducting quantum computing optimization based on multi-objective deep reinforcement learning
Published 2025-01-01“…Abstract Deep reinforcement learning is considered an effective technology in quantum optimization and can provide strategies for optimal control of complex quantum systems. More precise measurements require simulation control at multiple experimental stages. …”
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275
Multiple Model Adaptive Tracking Control Based on Adaptive Dynamic Programming
Published 2016-01-01“…Adaptive dynamic programming (ADP) has been tested as an effective method for optimal control of nonlinear system. However, as the structure of ADP requires control input to satisfy the initial admissible control condition, the control performance may be deteriorated due to abrupt parameter change or system failure. …”
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276
Mathematical Analysis of the Role of Treatment and Vaccination in the Management of the HIV/AIDS and Pneumococcal Pneumonia Co-Infection
Published 2025-01-01“…The model is also extended to include optimal control plans, in line with protection, early detection, and treatment of both HIV/AIDS and pneumococcal pneumonia. …”
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277
Prevention of Leptospirosis Infected Vector and Human Population by Multiple Control Variables
Published 2014-01-01“…In this paper, we present the optimal control problem applied to a dynamical leptospirosis infected vector and human population by using multiple control variables. …”
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278
Optimal Portfolio Selection of Mean-Variance Utility with Stochastic Interest Rate
Published 2020-01-01“…Finally, the numerical examples provided are used to analyze how stochastic (short-term) interest rates and risk aversion affect the optimal control strategies to illustrate the validity of our results.…”
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279
Suppression of Base Excitation of Rotors on Magnetic Bearings
Published 2007-01-01“…The compensation method presented here is a novel optimal control procedure with a combination of conventional, proportional, and differential feedback control. …”
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280
Research on the Adaptive Damping Method of Strap-Down Inertial Measurement Unit Based on the Magneto Rheological Technology
Published 2017-01-01“…This method takes the error between the vibration response of the missile and the dynamic response of SIMU as the performance index of optimal control. By optimal control, the stiffness and damping of the magneto rheological elastomer are automatically adjusted, the vibration response of the SIMU is controlled, and the output accuracy of SIMU is improved. …”
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