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    Chapter and Conference Paper

    Finite-Iteration Consensus Tracking Control of Nonlinear Multi-agent Systems with Input Sharing

    In this paper, the distributed iterative learning control (DILC) based on control input sharing is constructed for nonlinear multi-agent system to achieve finite-iteration tracking. The strategy of input shari...

    Jia-**n Wang, Cheng-Lin Liu in Proceedings of 2023 7th Chinese Conference… (2024)

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    Chapter and Conference Paper

    Iterative Learning Consensus Tracking Control for Multi-agent Systems with Neighboring Agents’ Average Control Inputs

    The iterative learning consensus tracking issue is addressed for homogeneous linear multi-agent systems in this paper. The neighboring agents’ previous knowledge is used to design a novel consensus control pro...

    Jia-**n Wang, Cheng-Lin Liu, Liang Shan in Proceedings of 2021 5th Chinese Conference… (2023)

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    Chapter

    Energy Consumption Model of the Discrete Manufacturing System

    For the discrete manufacturing system, its energy consumption and its facility condition have closely connections with its other factors, such as motion properties, technical parameters, a ranking of technical...

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter

    The Energy Efficiency Quantitative Analysis Based on the Principal Component Analysis

    Based on the now-established energy efficiency quantitative analysis system of the discrete manufacturing system, we propose a scientific and effective method to solve the problems of energy consumption quanti...

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter

    Design and Application of Energy Efficiency Optimization Control Software System

    The previous chapters have carried out detailed research on the energy efficiency modelling and optimization methods of discrete manufacturing systems. Based on ISOK industrial operation platform, this chapter...

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter

    Constructing a Multi-layered Energy Efficiency Quantitative Analysis Index System

    The construction of an energy efficiency quantitative analysis index system is the precondition for the quantitative energy consumption analysis of the discrete manufacturing system.

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter

    Energy-Efficient Process Parameters Optimizing Decision Method

    Introduction of the discount factor avoids the data saturation of the additional loading loss factor during identification and separates the cutting power.

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter

    The Quantitative Analysis of Energy Efficiency Based on Rough Set Theory and AHM

    After building the discrete manufacturing logistics system and quantitative analysis system of energy efficiency, we need to use a scientifically efficient method to solve the energy efficiency problem. In the...

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter

    Perceiving the Energy Consumption Information of Discrete Manufacturing Systems

    The discrete manufacturing system is a complex giant. For instance, the machine tool manufacturing system used in the equipment manufacturing industry includes not only such processes.

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter

    Introduction

    Discrete manufacturing system is an important support for the production of mechanical products and their parts, and its energy consumption is an important part of the carbon footprint of products.

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter

    Diagnosis of the Manufacturing Energy Consumption Bottleneck in a Complex Environment

    Using the energy efficiency quantitative analysis method to evaluate the energy efficiency of the discrete manufacturing system’s job shop can fully reflect the workshop’s energy efficiency level. But since th...

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter

    Discrete Manufacturing System’s Dynamic Intelligent Optimization Scheduling Method for High-Dimensional and Multi-objective Optimization of Production/Energy Consumption

    Current documents are mostly research targeting at low-dimensional multi-objective flexible workshop’s scheduling problem. The number of optimization targets does not exceed three, and these targets are normal...

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter

    Static Optimization and Scheduling of the Discrete Manufacturing System’s Energy Efficiency Based on the Integration of Knowledge and MOPSO

    Scholars both at home and abroad have undertaken numerous research and proposed many optimization methods.

    Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji in Quantitative Analysis and Optimal Control … (2020)

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    Chapter and Conference Paper

    Order Reduction of a Two-Span Rotor-Bearing System Via the Predictor-Corrector Galerkin Method

    The predictor-corrector Galerkin method (PCGM) is employed to obtain a lower order system for a two-span rotor-bearing system. First of all, a 32-DOF nonlinear dynamic model is established for the system. Then...

    Deng-Qing Cao, **-Lin Wang, Wen-Hu Huang in Dynamical Systems (2010)

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    Chapter

    Planning the Torch Orientation of Planar Lap Joint in Robotic Welding

    The torch orientation plays an important role in welding a lap joint. This paper proposes a torch orientation planning method for planar lap joint. In this method, the seam coordinates are firstly generated ba...

    L. Zhou, J. F. Wang, T. Lin, S. B. Chen in Robotic Welding, Intelligence and Automation (2007)

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    Chapter

    Partial Internal Model Control

    For open-loop stable processes, the IMC approach provides a very simple yet powerful parametrization of all stabilizing controllers. The IMC factorization procedure gives valuable insights into the inherent co...

    Qing-Guo Wang PhD, Tong Heng Lee PhD, Chong Lin PhD in Relay Feedback (2003)

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    Chapter

    Transfer Function Modelling

    The preceding two chapters indicate that relay identification usually yields information on process frequency response. However, most modern control designs make use of parametric models. Transfer functions mi...

    Qing-Guo Wang PhD, Tong Heng Lee PhD, Chong Lin PhD in Relay Feedback (2003)

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    Chapter

    Existence of Limit Cycles

    The preceding chapter studies the existence of solutions to system τ . In this chapter, we always assume this property with a default, i.e., a solution always exists for all t ≥ 0 ...

    Qing-Guo Wang PhD, Tong Heng Lee PhD, Chong Lin PhD in Relay Feedback (2003)

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    Chapter

    Relay Feedback and its Variations

    Suppose that a relay feedback system is stable and eventually yields limit cycles. The information contained in the limit cycles can be used for process frequency response estimation, as pioneered by Åström an...

    Qing-Guo Wang PhD, Tong Heng Lee PhD, Chong Lin PhD in Relay Feedback (2003)

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    Chapter

    Use of Relay Transient Responses

    In the preceding chapter, relay feedback has been employed to identify the process frequency response. It is, however, noted that the frequency response is obtained only at a few discrete frequency points. Ess...

    Qing-Guo Wang PhD, Tong Heng Lee PhD, Chong Lin PhD in Relay Feedback (2003)