Formulation of a mixed fruit beverage using fuzzy logic optimization of sensory data and designing its batch thermal pasteurization process

2021 ◽  
Vol 86 (2) ◽  
pp. 463-474
Author(s):  
Rishab Dhar ◽  
Prasanna P. Bhalerao ◽  
Snehasis Chakraborty
Keyword(s):  
Fuzzy Logic ◽  
Sensory Data ◽  
Logic Optimization ◽  
Thermal Pasteurization

Neural network and fuzzy logic techniques based collision avoidance for a mobile robot

Robotica ◽  
1997 ◽  
Vol 15 (6) ◽  
pp. 627-632 ◽  
Author(s):  
Minglu Zhang ◽  
Shangxian Peng ◽  
Qinghao Meng
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Mobile Robot ◽  
Fuzzy Controller ◽  
Perceptual Space ◽  
Space Partitioning ◽  
Reactive Navigation ◽  
3 Dimensional ◽  
Sensory Data ◽  
Cluttered Environment

This paper is concerned with a mobile robot reactive navigation in an unknown cluttered environment based on neural network and fuzzy logic. Reactive navigation is a mapping between sensory data and commands without planning. This article's task is to provide a steering command letting a mobile robot avoid a collision with obstacles. In this paper, the authors explain how to perform a currently perceptual space partitioning for a mobile robot by the use of an ART neural network, and then, how to build a 3-dimensional fuzzy controller for mobile robot reactive navigation. The results presented, whether experimented or simulation, show that our method is well adapted to this type of problem.

Location Update Improvement Using Fuzzy Logic Optimization in Location Based Routing Protocols in MANET

2013 ◽  
pp. 138-158
Author(s):  
Amjad Osmani ◽  
Abolfazl Toroghi Haghighat ◽  
Shirin Khezri
Keyword(s):  
Fuzzy Logic ◽  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Mobile Nodes ◽  
Location Update ◽  
Logic Optimization ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Several position-based routing protocols have been developed for mobile ad hoc networks. Many of these protocols assume that a location service is available which provides location information on the nodes in the network. This paper introduces a new schema in management of mobile nodes location in mobile ad hoc networks. Fuzzy logic optimization is applied to a better management of location update operation in hierarchical location services. Update management overhead is decreased without significant loss of query success probability. One-hop-chain-technique is used for Auto compensation. A new composed method can update mobile nodes location when the nodes cross a grid boundary. The proposed method uses a dynamic grid area that ?solves the ping-pong problem between grids. Simulation results show that these methods are effective. The algorithms are distributed and can keep scalability in the scenario of increasing nodes density?. The described solutions are not limited to a special network grid ordering, and can be used in every hierarchical ordering like GLS if the ordering can be mappable on these methods.

Influence of BA4047 filler addition through Mamdani fuzzy logic optimization for double-sided T-joint welding of aluminum alloys using low-power fiber laser

2017 ◽  
Vol 93 (5-8) ◽  
pp. 2133-2143 ◽  
Author(s):  
Shamini Janasekaran ◽  
Mohd Fadzil Jamaludin ◽  
Farazila Yusof ◽  
Mohd Hamdi Abdul Shukor ◽  
Tadashi Ariga
Keyword(s):  
Fuzzy Logic ◽  
Aluminum Alloys ◽  
Low Power ◽  
Fiber Laser ◽  
Logic Optimization

scholarly journals Fuzzy Logic Optimization of Composite Brake Control Strategy for Load-Isolated Electric Bus

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yafei Xin ◽  
Tiezhu Zhang ◽  
Hongxin Zhang ◽  
Qinghai Zhao ◽  
Jian Zheng ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Control Strategy ◽  
Recovery Rate ◽  
Energy Recovery ◽  
Fuzzy Controller ◽  
Vehicle Simulation ◽  
Logic Optimization ◽  
Electric Bus ◽  
Driving Range ◽  
Avl Cruise

To improve the energy recovery rate and increase the driving range of load-isolated electric buses, a composite brake control strategy based on fuzzy logic optimization is proposed. Considering the influence of the battery SOC value and the braking intensity on the braking ratio, a fuzzy controller is designed for small and medium braking strengths to optimize the control strategy. The vehicle simulation model of the load-isolated electric bus was built with the AVL CRUISE software platform. The AVL CRUISE-Simulink cosimulation was carried out under the original control strategy and the optimized control strategy. The simulation results show that, under the premise of ensuring the stability of braking, the driving range of the vehicle with the optimized control strategy is increased by 7.74% and the energy recovery rate is increased by 11.05%.

Sign in / Sign up

Export Citation Format

Share Document