IFOA: an improved forest algorithm for continuous nonlinear optimisation

2019 ◽  
Vol 19 (3) ◽  
pp. 343
Author(s):  
Borong Ma ◽  
Zhixin Ma ◽  
Dagan Nie ◽  
Xianbo Li
Keyword(s):  
Nonlinear Optimisation

Measuring battery discharge characteristics for accurate UAV endurance estimation

2020 ◽  
Vol 124 (1277) ◽  
pp. 1099-1113
Author(s):  
L. Mariga ◽  
I. Silva Tiburcio ◽  
C.A. Martins ◽  
A.N. Almeida Prado ◽  
C. Nascimento
Keyword(s):  
Low Cost ◽  
Estimation Error ◽  
Flight Time ◽  
Time Estimates ◽  
Discharge Rates ◽  
Nonlinear Optimisation ◽  
Time Calculation ◽  
Discharge Profile ◽  
Battery Discharge ◽  
Battery Discharge Characteristics

ABSTRACTThe increasing use of unmanned aerial vehicles in areas such as rescue, mapping, and transportation have made it necessary to study more accurate techniques for calculating flight time estimates. Such calculations require knowing the battery discharge profile. Simplified flight time calculation methods provide data with uncertainties as they are based solely on manufacturer datasheet information. This study presents a setup to measure the battery discharge curve using a LabVIEW interface with a low-cost acquisition system. The acquired data passes through a nonlinear optimisation algorithm to find the battery coefficients, which enables the more precise estimation of its range and endurance. The great advantage of this model is that it makes it possible to predict how the battery will discharge at different rates using just one experimental curve. The methodology was applied to three different batteries and the model was validated with different discharge rates in a controlled environment, which resulted in endurance lower than 3.0% for most conditions and voltage estimation error lower than 3.0% in operational voltage. The work also presented a methodology for estimating cruise time based on the current used during each flight stage.

scholarly journals NUMERICAL IMAGING USING NONLINEAR OPTIMISATION

2021 ◽  
Vol 20 (1) ◽  
pp. 1-16
Author(s):  
Serigne Diouf ◽  
Mamadou M. Diop ◽  
Alassane Sy
Keyword(s):  
Nonlinear Optimisation

Application of mathematical tools to improve the design and operation of activated sludge plants. Case study: the new WWTP of Galindo-Bilbao Part I: Optimum design

2001 ◽  
Vol 43 (7) ◽  
pp. 157-165 ◽  
Author(s):  
A. Rivas ◽  
E. Ayesa ◽  
A. Galarza ◽  
A. Salterain
Keyword(s):  
Activated Sludge ◽  
Optimum Design ◽  
Mathematical Formulation ◽  
Mathematical Programming Problem ◽  
Minimum Volume ◽  
Plant Model ◽  
Total Cost ◽  
Second Stage ◽  
Nonlinear Optimisation

This paper presents a mathematical formulation for the optimum design of a new activated sludge WWTP. The WWTP optimum design problem has been formulated as a Mathematical Programming problem, which is solved through a nonlinear optimisation method. The plant model has been based on the ASM1. The minimum volume of the biological reactors and the minimum total cost (including construction and exploitation costs) have been considered as optimisation criteria. Some practical results are also included, using as a case study the design of the second stage of the Galindo-Bilbao WWTP.

scholarly journals A stochastic approach to the operative control of flood flows through a reservoir

2016 ◽  
Vol 64 (1) ◽  
pp. 91-96
Author(s):  
Lubomír Jaroš ◽  
Miloš Starý ◽  
Lucie Březková
Keyword(s):  
Control Algorithm ◽  
Fuzzy Model ◽  
Stochastic Approach ◽  
Water Inflow ◽  
Model Data ◽  
Runoff Water ◽  
Nonlinear Optimisation ◽  
Operative Control ◽  
Optimisation Methods ◽  
Bottom Outlets

Abstract The contribution focuses on the design of a control algorithm aimed at the operative control of runoff water from a reservoir during flood situations. Management is based on the stochastically specified forecast of water inflow into the reservoir. From a mathematical perspective, the solved task presents the control of a dynamic system whose predicted hydrological input (water inflow) is characterised by significant uncertainty. The algorithm uses a combination of simulation model data, in which the position of the bottom outlets is sought via nonlinear optimisation methods, and artificial intelligence methods (adaptation and fuzzy model). The task is written in the technical computing language MATLAB using the Fuzzy Logic Toolbox.

scholarly journals Optimisation of hand posture stimulation using an electrode array and iterative learning control

2013 ◽  
Vol 21 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Timothy Exell ◽  
Christopher Freeman ◽  
Katie Meadmore ◽  
Ann-Marie Hughes ◽  
Emma Hallewell ◽  
...  
Keyword(s):  
Iterative Learning Control ◽  
Electrode Array ◽  
Joint Angles ◽  
Upper Limb Rehabilitation ◽  
Data Glove ◽  
Nonlinear Optimisation ◽  
Rehabilitation System ◽  
Position Data ◽  
Performance Results ◽  
Limb Rehabilitation

Nonlinear optimisation-based search algorithms have been developed for the precise stimulation of muscles in the wrist and hand, to enable stroke patients to attain predefined gestures. These have been integrated in a system comprising a 40 element surface electrode array that is placed on the forearm, an electrogoniometer and data glove supplying position data from 16 joint angles, and custom signal generation and switching hardware to route the electrical stimulation to individual array elements. The technology will be integrated in a upper limb rehabilitation system currently undergoing clinical trials to increase their ability to perform functional tasks requiring fine hand and finger movement. Initial performance results from unimpaired subjects show the successful reproduction of six reference hand postures using the system.

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