Results 41 to 50 of about 53,074 (307)

A Novel Reduced-Order Analytical Fault Diagnosis Model for Power Grid

IEEE Access
Power grid fault diagnosis methods based on analytical models possess advantages such as logical rigor, strong interpretability, and high applicability.
Zhuonan Lin, Yongxing Wang, Haoqian Xu, Fanrong Wei   +3 more
doaj   +1 more source

Nonlinear Mathematical Programming in Engineering Applications [PDF]

Transactions of the VŠB-Technical University of Ostrava, Mechanical Series, 2010
This paper deals with suitable nonlinear optimization in engineering applications via mathematical programming. This tool is used for optimization and control of production of steel slabs and inverse tasks, such as determination of boundary conditions ...
Tomáš MAUDER
doaj  

Optimality Condition and Wolfe Duality for Invex Interval-Valued Nonlinear Programming Problems

Journal of Applied Mathematics, 2013
The concepts of preinvex and invex are extended to the interval-valued functions. Under the assumption of invexity, the Karush-Kuhn-Tucker optimality sufficient and necessary conditions for interval-valued nonlinear programming problems are derived ...
Jianke Zhang
doaj   +1 more source

Planning a Continuous Vehicle Trajectory for an Automated Lane Change Maneuver by Nonlinear Programming considering Car-Following Rule and Curved Roads

Journal of Advanced Transportation, 2020
This study proposes a trajectory planning method for an automated lane change maneuver. We consider that the spatiotemporal trajectory of a controlled vehicle can be represented by a polynomial function and estimate the parameters of the polynomial ...
Chong Wei, Shurong Li
doaj   +1 more source

An elementary proof of the Fritz-John and Karush-Kuhn-Tucker conditions in nonlinear programming [PDF]

, 2007
In this note we give an elementary proof of the Fritz-John and Karush-Kuhn-Tucker conditions for nonlinear finite dimensional programming problems with equality and/or inequality constraints. The proof avoids the implicit function theorem usually applied
Still, G. J., Still, G.J., Birbil, Ş. İlker, Birbil, Ş.İ., Frenk, J.B.G., Frenk, J. B. G.   +5 more
core   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

Advanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera, Philippe Marrec, A. Jorge Parola, Madalena Dionísio, Hugo Águas, Andreia F. M. Santos, Hamed Pourkheirollah, Donald Lupo, César A. T. Laia   +8 more
wiley   +1 more source

The application of the dynamic programming method in investment optimization [PDF]

Megatrend Revija, 2016
This paper deals with the problem of investment in Measuring Transformers Factory in Zajecar and the application of the dynamic programming method as one of the methods used in business process optimization.
Petković Nina, Božinović Milan
doaj   +1 more source

Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology

Advanced Engineering Materials, EarlyView.
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham, Chenyu Wen, Mohammad Hadi Khaksaran, Won‐Yong Lee, Javier Cruz, Klas Hjort, Dongping Wu, Shi‐Li Zhang   +7 more
wiley   +1 more source

Nonlinear constrained optimizer and parallel processing for golden block line search

Computer Assisted Methods in Engineering and Science, 2023
Generalized exponential penalty functions are constructed for the multiplier methods in solving nonlinear programming problems. The non-smooth extreme constraint Gext is replaced by a single smooth constraint Gs by using the generalized exponential ...
Due T. Nguyen, Wilson H. Tang, Yeou K. Tung, Hakizumwami B. Runesha   +3 more
doaj  

Linearized Programming of Memristors for Artificial Neuro-Sensor Signal Processing

Sensors, 2016
A linearized programming method of memristor-based neural weights is proposed. Memristor is known as an ideal element to implement a neural synapse due to its embedded functions of analog memory and analog multiplication.
Changju Yang, Hyongsuk Kim
doaj   +1 more source