His main research concerns Mathematical optimization, Nonlinear programming, Control theory, Nonlinear system and Batch distillation. In Mathematical optimization, Pu Li works on issues like Electric power system, which are connected to Probabilistic analysis of algorithms. His biological study spans a wide range of topics, including Flexible battery, Solver, Model predictive control and Sequential quadratic programming.
His research in Control theory intersects with topics in Reactive energy, Battery storage, Simulation and Heuristic. His Nonlinear system study combines topics from a wide range of disciplines, such as Computational complexity theory and Linear programming. As a member of one scientific family, Pu Li mostly works in the field of Batch distillation, focusing on Process engineering and, on occasion, Chemical process, Computation, Scientific method and Fractional distillation.
His primary areas of study are Mathematical optimization, Control theory, Nonlinear system, Nonlinear programming and Optimization problem. His work in Mathematical optimization is not limited to one particular discipline; it also encompasses Wind power. His work carried out in the field of Control theory brings together such families of science as Distillation, Fractionating column and Model predictive control.
In his research, Applied mathematics is intimately related to State variable, which falls under the overarching field of Nonlinear system. His Optimization problem research incorporates themes from Discretization and Estimation theory. His Stochastic optimization research is multidisciplinary, relying on both Robust optimization and Probabilistic-based design optimization.
The scientist’s investigation covers issues in Mathematical optimization, Automotive engineering, Control theory, Battery and Constrained optimization. The study incorporates disciplines such as Wind power, Phase and Nonlinear system in addition to Mathematical optimization. His studies in Automotive engineering integrate themes in fields like Energy storage, Renewable energy and Electronics.
His Control theory research is multidisciplinary, incorporating elements of Pressure regulator and Reduction. The various areas that Pu Li examines in his Battery study include Reliability engineering and Microgrid. His Constrained optimization research includes themes of Stochastic optimization and Applied mathematics.
His scientific interests lie mostly in Control theory, Stochastic optimization, Constrained optimization, Smoothing and Mathematical optimization. Pu Li studies Control system which is a part of Control theory. His Stochastic optimization study combines topics in areas such as Joint, State variable, Elliptic partial differential equation and Applied mathematics.
Constrained optimization combines with fields such as Convex optimization and Sequence in his work. His Mathematical optimization research incorporates elements of Phase, Algebraic equation and Nonlinear programming.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Direct differentiation of atrial and ventricular myocytes from human embryonic stem cells by alternating retinoid signals
Qiangzhe Zhang;Junjie Jiang;Pengcheng Han;Qi Yuan.
Cell Research (2011)
Active-Reactive Optimal Power Flow in Distribution Networks With Embedded Generation and Battery Storage
Aouss Gabash;Pu Li.
IEEE Transactions on Power Systems (2012)
Chance constrained programming approach to process optimization under uncertainty
Pu Li;Harvey Arellano-Garcia;Günter Wozny.
Computers & Chemical Engineering (2008)
Chance Constrained Programming for Optimal Power Flow Under Uncertainty
Hui Zhang;Pu Li.
IEEE Transactions on Power Systems (2011)
Offshore oil spill response practices and emerging challenges.
Pu Li;Qinhong Cai;Weiyun Lin;Bing Chen.
Marine Pollution Bulletin (2016)
Probabilistic analysis for optimal power flow under uncertainty
H. Zhang;P. Li.
Iet Generation Transmission & Distribution (2010)
Brief A probabilistically constrained model predictive controller
Pu Li;Moritz Wendt;GüNter Wozny.
Flexible Optimal Operation of Battery Storage Systems for Energy Supply Networks
Aouss Gabash;Pu Li.
IEEE Transactions on Power Systems (2013)
Optimal regulatory strategies for metabolic pathways in Escherichia coli depending on protein costs.
Frank Wessely;Martin Bartl;Reinhard Guthke;Pu Li.
Molecular Systems Biology (2011)
Advances and applications of chance-constrained approaches to systems optimisation under uncertainty
Abebe Geletu;Michael Klöppel;Hui Zhang;Pu Li.
International Journal of Systems Science (2013)
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