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The load object of ball mill in thermal power plant has complex traits that are large time-delay, slow time-varying, strongly nonlinear, etc. It is difficult to obtain satisfactory control performance using conventional control methods. The model-free adaptive control method based on grey prediction was introduced to control ball mill load in this paper. This method combined the adaptive, anti-interference...
With the development of control theory and communication technology, networked control systems(NCSs) have received more and more attention. The network that is introduced into the control systems produces some issues, such as network-induced delays, data packets dropout, network resources competition and so on. In this paper, we focus on the network-induced delays. However, the closed-loop control...
Wireless network delay is the main factor that deteriorates the performance of the wireless networked control systems (WNCS). In order to effectively restrain the impact of network delay, a new approach is proposed that novel Smith predictor combined with generalized predictive control (GPC) for the WNCS. Because novel Smith predictor hides predictor models of the network delays into real network...
The present paper proposes a recursively feasible networked model predictive control scheme for discrete-time constrained interconnected linear systems. A centralized controller, which communicates with the subsystems through a packet-based communication network, is designed to guarantee the uniform boundedness of the trajectories of the overall closed-loop system. In order to cope with disturbances...
We present a networked control scheme which uses a model based prediction and time-stamps in order to compensate for delays and packet dropouts in the transmission between sensor and controller and between controller and actuator, respectively. In order to analyze the properties of our scheme, we introduce the notion of prediction consistency which enables us to precisely state the network properties...
The present paper is concerned with the robust state feedback stabilization of uncertain discrete-time constrained nonlinear systems in which the loop is closed through a packet-based communication network. In order to cope with model uncertainty, time-varying transmission delays and packet dropouts which typically affect networked control systems, a robust control policy, which combines model predictive...
Networked control system (NCS) is a kind of closed loop control systems where the sensors, the controller and the actuators exchange data through network. Because the networks, in which the band width is limited, are introduced in the systems, some new issues appear unavoidably. At present, the research of networked control system becomes a focus area in control engineering. According to the characteristics...
In this paper, a new method for real time prediction of uncertain network transmission time delays and a method for closed-loop control of plants through networks are introduced. The proposed delay prediction method is based on the Multi-Layer Perceptron neural model. For the purpose of minimizing the calculations needed in a real time implementation, a method for determination of the Markov order...
In this paper, a compensation algorithm based on model predictive control is presented for Ethernet control systems with uncertain transmission delay. The delay of feedback path and forward path is obtained through time delay prediction. According to the request of system performance, the control system design is compensated by using dynamic matrix control algorithm to overcome the bad effect caused...
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