Performance assessment for nonlinear controlsystems is of great current interest. In this paper, a class of nonlinear systems are concerned. The analytical benchmark performance and the associated benchmark controlle...
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Performance assessment for nonlinear controlsystems is of great current interest. In this paper, a class of nonlinear systems are concerned. The analytical benchmark performance and the associated benchmark controller are established by minimizing the variance of the measurement output. Similar to. ltering and correlation analysis (FCOR) algorithm, the calculation of performance index in higherorder statistics forms is proposed. To facilitate assessment, a filtering or whitening method is also presented. The white noise sequence is estimated by dynamic principal component analysis (DPCA) based on the nonlinear autoregressive exogenous (NARX) model. By comparison with traditional method, the proposed method can effectively avoid biased estimation of control performance for nonlinear systems. The numerical example indicates the effectiveness of the proposed performance assessment method.
A neural based PID feedback control method for networked processcontrolsystems is presented. As there are some uncertain factors such as external disturbance, randomly delayed measurements or control demands in real...
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This paper researches the consensus problem of high-order multi-agent systems. A new dynamic neighbor-based protocol is proposed which contains two parts, one is the local feedback and the other is the distributed fee...
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作者：
Gong KunDeng FangMa TaoGong Kun is with School of Automation
Beijing Institute of Technology and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China Deng Fang is with School of Automation
Beijing Institute of Technology and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China Ma Tao is with School of Automation
Beijing Institute of Technology and Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China
In order to improve the precision of the azimuth measured by mobile robot's electronic compass, this paper proposes a new calibration method based on Fourier Neural Network trained by Modified Particle Swarm Optim...
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In order to improve the precision of the azimuth measured by mobile robot's electronic compass, this paper proposes a new calibration method based on Fourier Neural Network trained by Modified Particle Swarm Optimization (MPSO-FNN). This method makes use of Fourier Neural Network (FNN) to establish the error compensation model of electronic compass's azimuth, and introduces Modified Particle Swarm Optimization (MPSO) algorithm to optimize the weights of neural network. Thus the comparatively accurate error model of azimuth is obtained to compensate the output of electronic compass. This method not only has strong nonlinear approximation capability, but also overcomes the neural networks' shortcomings which are too slow convergence speed, oscillation, and easy to fall into local optimum and sensitive to the initial values. Experimental results demonstrate that after calibrated by this method, the range of azimuth error reduces to -0.35°~0.70° from -3.4°~25.2°, and the average value of absolute error is only 0.30°.
Abstract To pursuit the plant-wide optimization of multiple units industrial process, a hybrid intelligent optimization approach under dynamic environment is proposed. The objective of optimization is that the product...
Abstract To pursuit the plant-wide optimization of multiple units industrial process, a hybrid intelligent optimization approach under dynamic environment is proposed. The objective of optimization is that the production indices defined as the performance related to the final product quality, yield, energy and material consumption fall into their target ranges; whilst the decision variables are operational indices of each unit, which is related to units’ intermediate product quality, efficiency and consumption. In this context, the domain knowledge of process engineers are mimicked and combined with the framework in terms of feedback, prediction and feed-forward schemes so as to realize the required optimization. The effectiveness of the proposed approach has been demonstrated by the practical application results.
The Common Spatial Patterns (CSP) algorithm is useful for calculating spatial filters for detecting event-related desynchronization (ERD) for use in ERD-based brain-computer interfaces (BCIs). However, basic CSP is a ...
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An adaptive sliding mode control scheme for electromechanical actuator has been presented. The adaptive control strategy can estimate the uncertain parameters and adaptively compensate the modeled dynamical uncertaint...
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An adaptive sliding mode control scheme for electromechanical actuator has been presented. The adaptive control strategy can estimate the uncertain parameters and adaptively compensate the modeled dynamical uncertainties, while the sliding mode control method overcomes the unmodelled dynamics. In the adaptive law an equivalent output injection of the sliding mode observer which contains the parameter estimation error is used, and estimates of parameters can approximate the true values without prediction-error that is typically used in compositive adaptive law. Due to the improved estimation of uncertain parameters, the sliding mode law can robustifies the design against model uncertainties with a small swithcing gain. Stability of the system with the proposed approach has been proved and it has also been shown that the system states can reach the sliding mode in finite time. Finally, the effectiveness of the proposed control scheme has been exhibited via simulation examples.
Differential Evolution (DE) is a simple and efficient numerical optimization method. Most DE variants in the literature adopt fixed population size. This paper incorporates into DE the mechanisms of lifetime and extin...
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This paper investigates the problem of designing fuzzy H∞ filter for a class of nonlinear singularly perturbed systems (SPSs) with time-varying delay in states. The considered system is approximated by a Takagi-Sugen...
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Health, Safety and Environment management system (HSE) is a general management system of international oil and gas industry. In order to comply with HSE management system, an air quality monitoring system is researche...
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Health, Safety and Environment management system (HSE) is a general management system of international oil and gas industry. In order to comply with HSE management system, an air quality monitoring system is researched based on ZigBee wireless sensor technology, which is applied in industrial sites. The system includes: detecting terminal, wireless router, wireless gateway, software of field devices and monitoring equipment; the system can measure a variety of gas parameters, such as: CO 2 concentration, CO concentration, air quality level, temperature and humidity; Features of the system have high accuracy, quick sensitivity, wide monitoring range, etc..
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