Abstract--This paper conducts a survey on iterative learn- ing control （ILC） with incomplete information and associated control system design, which is a frontier of the ILC field. The incomplete information, includ...Abstract--This paper conducts a survey on iterative learn- ing control （ILC） with incomplete information and associated control system design, which is a frontier of the ILC field. The incomplete information, including passive and active types, can cause data loss or fragment due to various factors. Passive incomplete information refers to incomplete data and information caused by practical system limitations during data collection, storage, transmission, and processing, such as data dropouts, delays, disordering, and limited transmission bandwidth. Active incomplete information refers to incomplete data and information caused by man-made reduction of data quantity and quality on the premise that the given objective is satisfied, such as sampling and quantization. This survey emphasizes two aspects： the first one is how to guarantee good learning performance and tracking performance with passive incomplete data, and the second is how to balance the control performance index and data demand by active means. The promising research directions along this topic are also addressed, where data robustness is highly emphasized. This survey is expected to improve understanding of the restrictive relationship and trade-off between incomplete data and tracking performance, quantitatively, and promote further developments of ILC theory. Index Terms--Data dropout, data robustness, incomplete in- formation, iterative learning controi（ILC）, quantized control, sampled control, varying lengths.展开更多
The aim of this paper is to propose a discussion about inventory control and to present a new method for testing the control process in terms of uncertainty. The subject matter is modelling for optimal control that ul...The aim of this paper is to propose a discussion about inventory control and to present a new method for testing the control process in terms of uncertainty. The subject matter is modelling for optimal control that ultimately provides the basic parameters for the level of safety stock and the cycle of deliveries. An optimisation criterion is a function minimising the total costs of storage and production coming to a halt because of depleted stock of inputs. Considering the results of the study, it is found that appropriate management process of textile companies requires determining raw materials stocks and its costs very precisely. The stream management process in the enterprise includes an element of fluctuations in demand. This is the source of ＂a conflict＂ that appears in two sub-systems： storage and production. At the same time, a systemic approach to the optimal coordination of supply/production calls for effective management of the whole system. Implementation of modem information technologies is one of the factors that support the effective control.展开更多
This paper investigates the distributed finite-time consensus tracking problem for higher- order nonlinear multi-agent systems （MASs）. The distributed finite-time consensus protocol is based on full order sliding su...This paper investigates the distributed finite-time consensus tracking problem for higher- order nonlinear multi-agent systems （MASs）. The distributed finite-time consensus protocol is based on full order sliding surface and super twisting algorithm. The nominal consensus control for the MASs is designed based on the geometric homogeneous finite time control technique. The chattering is avoided by designing a full order sliding surface. The switching control is constructed by integrating super twisting algorithm, hence a chattering alleviation protocol is obtained to maintain a smooth control input. The finite time convergence analysis for the leader follower network is presented by using strict Lyapunov function. Finally, the numerical simulations validate the proposed homogeneous full-order sliding mode control for higher-order MASs.展开更多
基金supported by the National Natural Science Foundation of China(61673045)Beijing Natural Science Foundation(4152040)
文摘Abstract--This paper conducts a survey on iterative learn- ing control （ILC） with incomplete information and associated control system design, which is a frontier of the ILC field. The incomplete information, including passive and active types, can cause data loss or fragment due to various factors. Passive incomplete information refers to incomplete data and information caused by practical system limitations during data collection, storage, transmission, and processing, such as data dropouts, delays, disordering, and limited transmission bandwidth. Active incomplete information refers to incomplete data and information caused by man-made reduction of data quantity and quality on the premise that the given objective is satisfied, such as sampling and quantization. This survey emphasizes two aspects： the first one is how to guarantee good learning performance and tracking performance with passive incomplete data, and the second is how to balance the control performance index and data demand by active means. The promising research directions along this topic are also addressed, where data robustness is highly emphasized. This survey is expected to improve understanding of the restrictive relationship and trade-off between incomplete data and tracking performance, quantitatively, and promote further developments of ILC theory. Index Terms--Data dropout, data robustness, incomplete in- formation, iterative learning controi（ILC）, quantized control, sampled control, varying lengths.
文摘The aim of this paper is to propose a discussion about inventory control and to present a new method for testing the control process in terms of uncertainty. The subject matter is modelling for optimal control that ultimately provides the basic parameters for the level of safety stock and the cycle of deliveries. An optimisation criterion is a function minimising the total costs of storage and production coming to a halt because of depleted stock of inputs. Considering the results of the study, it is found that appropriate management process of textile companies requires determining raw materials stocks and its costs very precisely. The stream management process in the enterprise includes an element of fluctuations in demand. This is the source of ＂a conflict＂ that appears in two sub-systems： storage and production. At the same time, a systemic approach to the optimal coordination of supply/production calls for effective management of the whole system. Implementation of modem information technologies is one of the factors that support the effective control.
文摘This paper investigates the distributed finite-time consensus tracking problem for higher- order nonlinear multi-agent systems （MASs）. The distributed finite-time consensus protocol is based on full order sliding surface and super twisting algorithm. The nominal consensus control for the MASs is designed based on the geometric homogeneous finite time control technique. The chattering is avoided by designing a full order sliding surface. The switching control is constructed by integrating super twisting algorithm, hence a chattering alleviation protocol is obtained to maintain a smooth control input. The finite time convergence analysis for the leader follower network is presented by using strict Lyapunov function. Finally, the numerical simulations validate the proposed homogeneous full-order sliding mode control for higher-order MASs.
