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An Intelligent Non-Collocated Control Strategy for Ball-Screw Feed Drives with Dynamic Variations

Hui Liu, Jun Zhang, Wanhua Zhao

Engineering 2017, Volume 3, Issue 5, Pages 641-647 doi: 10.1016/J.ENG.2017.04.007

Abstract: A corresponding control strategy, which is composed of a modal characteristic modifier (MCM) and an intelligentadaptive tuning algorithm (ATA), is then developed.

Keywords： Ball-screw feed drives Varying high-order dynamics Non-collocated control Modal characteristic modifier Intelligentadaptive tuning algorithm

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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1, Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: This paper reports several intelligent diagnostic approaches based on artificial neural network and fuzzyalgorithm for plant machinery, such as the diagnosis method using the wavelet transform, rough sets,by the possibility theory and certainty factor model; and the diagnosis method on the basis of the adaptiveThese intelligent diagnostic methods have been successfully applied to condition diagnosis in different

Keywords： intelligent diagnosis neural network fuzzy algorithm adaptive filtering plant machinery

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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4, Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptiveFinally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process

Keywords： electrochemical machining process (ECM) modeling adaptive neuro-fuzzy inference system (ANFIS) optimization cuckoo optimization algorithm (COA)

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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive

Frontiers of Structural and Civil Engineering Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: ., a genetic algorithm (GA)-optimized adaptive neuro-fuzzy inference system (ANFIS-GA), to predict Y1

Keywords： falling weight deflectometer modulus of subgrade reaction elastic modulus metaheuristic algorithms

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Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 78-81

Abstract:

According to the fuzzy theory and practical experience, the authors propose a rules autoconditioning fuzzy controller, whose dynamic performance and stability are all prior to the conventional PID controller and the basic fuzzy controller. It is also shown that the controller has good disturbance rejection properties and insensitivity to plant parameter variations. Both simulation and engineering prove that it is feasible actually and convenient to put into practical control project.

Keywords： fuzzy controller rules auto-tuning adaptive

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Self-adaptive Creating of Truss Ground Structure Based on ANFIS

Li Ying,Hu Yunchang,Cao Hongduo

Strategic Study of CAE 2004, Volume 6, Issue 10, Pages 24-27

Abstract:

The ground structure's intelligent and automatical creating is researched.structures of truss structures are intelligently and automatically created by using collateral ANFIS (Adaptive-Network-Based

Keywords： truss ANFIS intelligent self-adaptive

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Intelligent Layout Optimization Systems of Truss Structure

Li Hao,Hu Yunchang,Cao Hongfeng

Strategic Study of CAE 2003, Volume 5, Issue 2, Pages 75-79

Abstract:

Intelligent layout optimization system of truss structures, based on fuzzy, neural network, and chaosThis system takes on intelligent and adaptive.

Keywords： layout optimization intelligent optimization systems adaptive

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Fine-tuning cell organelle dynamics during mitosis by small GTPases

Frontiers of Medicine 2022, Volume 16, Issue 3, Pages 339-357 doi: 10.1007/s11684-022-0926-1

Abstract: During mitosis, the allocation of genetic material concurs with organelle transformation and distribution. The coordination of genetic material inheritance with organelle dynamics directs accurate mitotic progression, cell fate determination, and organismal homeostasis. Small GTPases belonging to the Ras superfamily regulate various cell organelles during division. Being the key regulators of membrane dynamics, the dysregulation of small GTPases is widely associated with cell organelle disruption in neoplastic and non-neoplastic diseases, such as cancer and Alzheimer’s disease. Recent discoveries shed light on the molecular properties of small GTPases as sophisticated modulators of a remarkably complex and perfect adaptors for rapid structure reformation. This review collects current knowledge on small GTPases in the regulation of cell organelles during mitosis and highlights the mediator role of small GTPase in transducing cell cycle signaling to organelle dynamics during mitosis.

Keywords： small GTPase cell organelle mitosis

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Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and

Xiao-ping BAI,Ya-nan LIU

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4, Pages 462-471 doi: 10.1007/s11709-016-0361-y

Abstract: In the Insight software environment, the Adaptive Simulated Annealing (ASA) algorithm is used to get

Keywords： civil engineering dynamic reliability grey relational degree adaptive simulated annealing algorithm

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A review of the multiobjective tradeoff research of construction projects based on intelligent optimizationalgorithm

Zhang Lianying,Xu Chang,Wu Qiong

Strategic Study of CAE 2012, Volume 14, Issue 11, Pages 107-112

Abstract:

The optimal equilibrium between the multiple objectives of construction projects is a significant aspect of project management research, which has seen rapid development in recent years, gaining a bunch of fruitful achievements. In this paper, a review is provided for the multiobjective tradeoff research of construction projects based on literature review. Models under deterministic conditions and nondeterministic conditions are investigated and summarized. Some suggestions on the possible direction for future research are included considering the algorithms adopted in the problem solution. This paper aims at providing a review of the achievements in this area so far and keeping track of the ongoing research topics so as to give certain indications for research that follows.

Keywords： construction project project management multi-objective optimization intelligent optimization algorithm

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Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 30-35

Abstract:

Intelligent calculating tools such as fuzzy optimization approaches, BP neural network and geneticalgorithm are proven to be efficient when applied individually to a variety of problems.this paper, the author organically synthesizes fuzzy optimal selection, BP neural network and genetic algorithmand establishes intelligent forecasting mode and method.The results are highly promising and show that the operation speed, precision and stability of intelligent

Keywords： fuzzy optimal selection BP neural network genetic algorithm intelligent forecasting mode mid and longterm intelligent hydrological forecasting

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Variable identification and automatic tuning of the main module of a servo system of parallel mechanism

YANG Zhiyong, XU Meng, HUANG Tian, NI Yanbing

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1, Pages 82-88 doi: 10.1007/s11465-007-0014-x

Abstract: The variables of the main module of a servo system for miniature reconfigurable parallel mechanism were identified and automatically tuned. With the reverse solution module of the translation, the module with the exerted translation joint was obtained, which included the location, velocity and acceleration of the parallelogram carriage-branch. The rigid dynamic reverse model was set as the virtual work principle. To identify the variables of the servo system, the triangle-shaped input signal with variable frequency was adopted to overcome the disadvantages of the pseudo-random number sequence, i.e., making the change of the vibration amplitude of the motor dramatically, easily impact the servo motor and make the velocity loop open and so on. Moreover, all the variables including the rotary inertia of the servo system were identified by the additive mass. The overshoot and rise time were the optimum goals, the limited changing load with the attitude was considered, and the range of the controller variables in the servo system was identified. The results of the experiments prove that the method is accurate.

Keywords： acceleration reconfigurable parallel additive sequence parallel mechanism

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Pricing Based Adaptive Call Admission Control Algorithm for Wireless Networks

Zhang Xue

Strategic Study of CAE 2006, Volume 8, Issue 4, Pages 32-38

Abstract: effectively control the use of wireless network resources, in this paper, according to the characteristic of adaptivebandwidths can be adjusted dynamically, and the influence of pricing on the users' behavior, an adaptiveadmission control algorithm integrated with pricing is proposed.The algorithm, in with the price is adjusted dynamically based on the current network conditions, is

Keywords： wireless networks adaptive call admission control microeconomic theory pricing connection level QoS

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Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Frontiers in Energy 2012, Volume 6, Issue 1, Pages 47-56 doi: 10.1007/s11708-011-0159-5

Abstract: The hybrid intelligent technique is applied to execute the above two algorithms.

Keywords： artificial intelligence power distribution control state estimation

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Task-space position/attitude tracking control of FAST fine tuning system

QI Lin, ZHANG Hui, DUAN Guanghong

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4, Pages 392-399 doi: 10.1007/s11465-008-0056-8

Abstract: This paper addresses the task-space position/attitude tracking control of a suspended parallel robot, which is being developed in the framework of a five-hundred meter aperture spherical radio telescope (FAST) project. Based on the quaternion algebra, a novel model-independent task-space PD controller that ensures end-effector position and attitude tracking is presented. The simulation and experimental results show that the new controller has better control effects than the traditional joint-space controller.

Keywords： telescope five-hundred end-effector controller simulation