13 papers · ranked by Valyu relevance
Jesse A. Sharp, Kevin Burrage, Matthew J. Simpson
Optimal control theory provides insight into complex resource allocation decisions. The forward-backward sweep method (FBSM) is an iterative technique commonly implemented to solve two-point boundary value problems arising from the application of Pontryagin’s maximum principle (PMP) in optimal control. The FBSM is…
Nikolaos Tsiantis, Julio R. Banga
Background Optimality principles have been used to explain the structure and behavior of living matter at different levels of organization, from basic phenomena at the molecular level, up to complex dynamics in whole populations. Most of these studies have assumed a single-criteria approach. Such optimality principles…
G. An, B. G. Fitzpatrick, S. Christley, P. Federico + 6 more
'R. Miller Neilan' 'M. Oremland' 'R. Salinas' 'R. Laubenbacher' 'S. Lenhart'] Agent-based models (ABMs) have become an increasingly important mode of inquiry for the life sciences. They are particularly valuable for systems that are not understood well enough to build an equation-based model. These advantages, however…
Carlos Vilas, Eva Balsa-Canto, Maria-Sonia G García, Julio R Banga + 1 more
'Antonio A Alonso'] Background Systems biology allows the analysis of biological systems behavior under different conditions through in silico experimentation. The possibility of perturbing biological systems in different manners calls for the design of perturbations to achieve particular goals. Examples would include…
Vardan Martikyan, Camille Beluffi, Steffen J. Glaser, Marc-André Delsuc + 2 more
'Marc-André Delsuc' 'Dominique Sugny' 'Marek M. Kowalczuk'] We study the application of Optimal Control Theory to Ion Cyclotron Resonance. We test the validity and the efficiency of this approach for the robust excitation of an ensemble of ions with a wide range of cyclotron frequencies. Optimal analytical solutions…
Helen Moore
This article gives an overview of a technique called optimal control, which is used to optimize real-world quantities represented by mathematical models. I include background information about the historical development of the technique and applications in a variety of fields. The main focus here is the application to…
Timothy Sands
Optimal control is seen by researchers from a different perspective than that from which the industry practitioners see it. Either type of user can easily become confounded when deciding which manner of optimal control should be used for guidance and control of mechanics. Such optimization methods are useful for…
Jiahong Xu, Simon Tomažič
Existing control strategies, such as Real-time Optimization (RTO), Dynamic Real-time Optimization (DRTO), and Economic Model Predictive Control (EMPC) cannot enable optimal operation and control behavior in an optimal fashion. This work proposes a novel control strategy, named the efficiency-oriented model predictive…
László Dobos, András Király, János Abonyi
Finding the optimal operating region of chemical processes is an inevitable step toward improving economic performance. Usually the optimal operating region is situated close to process constraints related to product quality or process safety requirements. Higher profit can be realized only by assuring a relatively low…
Alexander Gorobtsov, Oleg Sychev, Yulia Orlova, Evgeniy Smirnov + 6 more
'Olga Grigoreva' 'Alexander Bochkin' 'Marina Andreeva' 'Anastasios Doulamis' 'Nikolaos Doulamis' 'Athanasios Voulodimos'] We consider the problem of dimensionality reduction of state space in the variational approach to the optimal control problem, in particular, in the reinforcement learning method. The control…
Alexandre Domingues, Susana Vinga, João M Lemos
Background The increasing availability of models and data for metabolic networks poses new challenges in what concerns optimization for biological systems. Due to the high level of complexity and uncertainty associated to these networks the suggested models often lack detail and liability, required to determine the…
George I. Boutselis, Ethan N. Evans, Marcus A. Pereira, Evangelos A. Theodorou + 1 more
'Evangelos A. Theodorou' 'Ravi P. Agarwal'] Stochastic spatio-temporal processes are prevalent across domains ranging from the modeling of plasma, turbulence in fluids to the wave function of quantum systems. This letter studies a measure-theoretic description of such systems by describing them as evolutionary…
Haigen Hu, Lihong Xu, Bingkun Zhu, Ruihua Wei
Conventional methods used for solving greenhouse environment multi-objective conflict control problems lay excessive emphasis on control performance and have inadequate consideration for both energy consumption and special requirements for plant growth. The resulting solution will cause higher energy cost. However…