Results 41 to 50 of about 699 (184)
Energy Efficient and Safe Control Strategy for Electric Vehicles Including Driver Preference
IEEE Access, 2021 In this manuscript, a control strategy for electric vehicles is developed to optimise the energy consumption while respecting constraints associated with both inter-vehicle safety and comfort, which is a challenge in typical optimal control solution ...
Sepehr G. Dehkordi +4 more
doaj +1 more source
Toward Robust Optimal Control of Chromatographic Separation Processes With Controlled Flow Reversal
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 3, September 2026.ABSTRACT Column liquid chromatography is an important technique applied in the production of biopharmaceuticals, specifically for the separation of biological macromolecules such as proteins. When setting up process conditions, it is crucial that the purity of the product is sufficiently high, even in the presence of perturbations in the process ...
Dominik H. Cebulla +2 more
wiley +1 more source
Continuous-Time Portfolio Selection: A Cursory Survey
Frontiers in Applied Mathematics and Statistics, 2020 In this article we provide a short survey on continuous-time portfolio selection. We explain the pioneering contribution of Merton and the use of dynamic programming.
Se Yung Bae, Junkee Jeon, Hyeng Keun Koo
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Mitigating Black Pod Disease in Cocoa Plants: An Optimal Control and Cost‐Effectiveness Analysis
Natural Resource Modeling, Volume 39, Issue 3, August 2026.ABSTRACT Black pod disease (BPD), caused by Phytophthora species, continues to pose a significant threat to cocoa production, particularly in tropical regions where cocoa farming is a major economic activity. This study develops a deterministic compartmental model to understand the transmission dynamics of BPD and evaluate the impact of multiple ...
Bernard Asamoah Afful
wiley +1 more source
Cooperative and Non‐Cooperative Solutions in a Dynamic Model of Forest Management
Natural Resource Modeling, Volume 39, Issue 3, August 2026.ABSTRACT This study develops a deterministic finite‐horizon bioeconomic control model linking forest biomass, biodiversity, cumulative harvesting pressure, and disturbance‐motivated expected biodiversity losses. Biodiversity is modeled as a productive state variable that feeds back into biomass growth, while cumulative harvesting pressure records the ...
Seyedalireza Seyedi +2 more
wiley +1 more source
ON NECESSARY OPTIMALITY CONDITIONS FOR RAMSEY-TYPE PROBLEMS
Ural Mathematical Journal, 2019 We study an optimal control problem in infinite time, where the integrand does not depend explicitly on the state variable. A special case of such problem is the Ramsey optimal capital accumulation in centralized economy.
Anton O. Belyakov
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A sequential quadratic Hamiltonian‐based estimation method for Box‐Cox transformation cure model
Statistica Neerlandica, Volume 80, Issue 3, August 2026.ABSTRACT We propose an enhanced estimation method for the Box‐Cox transformation (BCT) cure rate model parameters by introducing a generic maximum likelihood estimation algorithm, the sequential quadratic Hamiltonian (SQH) scheme, which is based on a gradient‐free approach.
Phuong Bui +3 more
wiley +1 more source
The Optimal Frequency Control Problem of a Nonlinear Oscillator
MathematicsWe study a minimum-time (time-optimal) control problem for a nonlinear pendulum-type oscillator, in which the control input is the system’s natural frequency constrained to a prescribed interval.
Victor Ilyutko +2 more
doaj +1 more source
A Stochastic Pontryagin Maximum Principle on the Sierpinski Gasket [PDF]
SIAM Journal on Control and Optimization, 2018 In this paper, we consider stochastic control problems on the Sierpinski gasket. An order comparison lemma is derived using heat kernel estimate for Brownian motion on the gasket. Using the order comparison lemma and techniques of BSDEs, we establish a Pontryagin stochastic maximum principle for these control problems.
openaire +2 more sources
Engineering Reports, Volume 8, Issue 6, June 2026.The study introduces a model‐free data‐driven control strategy combining sliding mode control with a projection recurrent neural network to regulate HIV dynamics. The method eliminates dependence on mathematical models, ensures constrained optimal drug dosing, and robustly drives HIV states to a healthy equilibrium despite uncertainty. ABSTRACT In this
Ashkan Zarghami +2 more
wiley +1 more source