Results 31 to 40 of about 7,641,552 (201)
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
A novel approach to Bilevel nonlinear programming
, 2007 Recently developed methods of monotonic optimization have been applied successfully for studying a wide class of nonconvex optimization problems, that includes, among others, generalized polynomial programming, generalized multiplicative and fractional ...
Tuy, Hoang, +2 more
core +1 more source
Sustainable Design and Synthesis of Shale Gas Processing and Chemical Manufacturing Processes
Chemical Engineering Transactions, 2018 In this work, we propose a superstructure of integrated shale gas processing and chemical manufacturing processes with 51,840 alternative possible process designs.
Jian Gong, Fengqi You
doaj +1 more source
Model Predictive Control for Magnetically Actuated Cellbots
Advanced Robotics Research, EarlyView.Magnetically actuated cellbots, formed by embedding microrobots in living cells, are steered along precise paths using a model predictive controller enhanced with a Gaussian process disturbance estimator. The data‐efficient method calibrates each cellbot individually, cutting modeling error by roughly 60% and enabling accurate navigation through cell ...
Mehdi Kermanshah +8 more
wiley +1 more source
An Exact Method for Fractional Goal Programming
, 2004 Goal Programming with fractional objectives can be reduced to mathematical programming with a linear objective under linear and quadratic constraints, thus optimal solutions can be obtained by using existing Global Optimization techniques.
Audet, Charles +2 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Non-convex mixed-integer nonlinear programming : a survey [PDF]
, 2012 A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint functions are convex, some quite effective exact and heuristic algorithms are ...
Burer, S, Letchford, Adam
core +4 more sources
Advanced Intelligent Systems, EarlyView.Hardware‐learning co‐design combines volar‐plate‐inspired passive‐joint constraints with mechanism‐aware reinforcement learning for a low‐cost parallel‐linkage gripper. The resulting system performs quasi‐static object adjustment and dynamic pinch grasping, demonstrating reliable planar in‐hand manipulation and successful sim‐to‐real transfer. Parallel
Yanzhou Jin +4 more
wiley +1 more source
Biological Carbon Sequestration and Utilization via Algal Biorefinery
Chemical Engineering Transactions, 2014 This work is concerned with process design and synthesis of an algal biorefinery for biological carbon sequestration and utilization under both economic and environmental criteria.
J. Gong, F. You
doaj +1 more source
Mathematical and Computer Modelling, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shao-Jian Qu, Ying Ji 0001, Ke-Cun Zhang
openaire +3 more sources