Brain emotional learning based intelligent controller (BELBIC) is based on computational model of limbic system in the mammalian brain. In recent years, this model was applied in many linear and nonlinear control appl...
Brain emotional learning based intelligent controller (BELBIC) is based on computational model of limbic system in the mammalian brain. In recent years, this model was applied in many linear and nonlinear control applications. Previous studies show that this controller has fast response, simple implementation and robustness with respect to disturbances. It is also possible to define emotional signal based on control application objectives. But in the previous studies, internal instability of this controller was not considered and control task were done in limited time period. In this article mathematical description of BELBIC is investigated and improved to avoid internal instability. Simulation and implementation of improved model was done on level plant. The obtained results showed that instability of model has been solved in the new model without loss of performance by using Integral Anti Windup (IAW).
The widespread use of relaxation technique amongst medicine community and sustained work environments makes a more complete understanding of its physiological effects. This research proposes a systematic evaluation fo...
The widespread use of relaxation technique amongst medicine community and sustained work environments makes a more complete understanding of its physiological effects. This research proposes a systematic evaluation for relaxation circumstances, which consists of subjective evidence and objective evidence. Innovative feature of this evaluation system is adding bio-neurological signals to support previous findings about relaxation circumstances. A work-rest schedule containing mental calculation and music relaxation is specially designed to reflect effect of prolonged cognitive work and relaxation in mental work environments. The results indicate that short period of music relaxation in sustained mental work is effective to counteract the accumulation of mental fatigue and improve work efficiency. This systematic evaluation method can be widely applicable, in medical fields, working environments and daily life for the purpose of prediction, detection and evaluation of human states.
In this paper, an on-line deterioration prediction method and residual life evaluation are proposed for maintenance of rotating equipment. Status of the rotating equipment is inspected by vibration measurement and a m...
In this paper, an on-line deterioration prediction method and residual life evaluation are proposed for maintenance of rotating equipment. Status of the rotating equipment is inspected by vibration measurement and a mathematical model for the deterioration of the equipment is derived in order to predict future condition of the rotating equipment. For the construction of the deterioration model, outliers in the vibration data caused by measurement errors and so on are eliminated in order to improve accuracy of the deterioration model. Residual life of the rotating equipment is evaluated from the deterioration prediction by using the deterioration model. The effectiveness of the proposed deterioration prediction method and residual life evaluation are assured by actual data of rotating equipment in thermal power plants.
Tracking moving objects in variable cluttered environments is an active area of research. It is common to use some simplifying assumption in such environments to facilitate the design. In this paper a new method for s...
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Tracking moving objects in variable cluttered environments is an active area of research. It is common to use some simplifying assumption in such environments to facilitate the design. In this paper a new method for simulating the completely non-Gaussian cluttered environments is presented. The method is based on using the variable variance of process noise as a description of variability in such environments. The key objective is to find an effective algorithm for tracking a single moving object in variable cluttered environments, with utilization of the presented method. The new methodology is presented in two steps. In the first step we compare the accuracy of estimators in tracking a moving object, and in the second step, the goal is to find the best algorithm for tracking a single moving target in variable cluttered environments.
This paper presents a new methodology for suspension control in view of global chassis control, developed in particular to guarantee greater driving safety and comfort. The control of the suspension subsystem allows t...
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This paper presents a new methodology for suspension control in view of global chassis control, developed in particular to guarantee greater driving safety and comfort. The control of the suspension subsystem allows the vehicle road holding (safety) and passenger comfort to be improved, but not at the same time. In order to reach them for every driving situation, an 'adaptive' two-degrees-of-freedom controller for active suspensions is proposed. This control architecture is 'open' and could be linked and aggregated to many other controllers of vehicle dynamics. This control strategy ensures, on the one hand, the robustness in performances with respect to parameter uncertainties and, on the other hand, the trade-off between road holding and comfort. The proposed design is based on the LPV/[image omitted] ∞ theory. Robust stability and performances are analysed within the μ-analysis framework. [ABSTRACT FROM AUTHOR]
An automatic sleep stage determination system dealing with the sleep data contaminated by artifacts is developed, which is working on an expert knowledge-based multi-valued decision making method. The knowledge databa...
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An automatic sleep stage determination system dealing with the sleep data contaminated by artifacts is developed, which is working on an expert knowledge-based multi-valued decision making method. The knowledge database is consisted of probability density functions of parameters for various sleep stages according to the visual inspection by a qualified clinician. The probability density functions are approximated by Cauchy distribution on histograms. Sleep stages are determined automatically according to the maximum value of conditional probability. Due to the infinite variance of Cauchy distribution, the effect of mis-determination caused by artifacts can be abated. The result of automatic sleep stage determination was satisfactory. The presented automatic sleep stage determination can be an assistant tool for clinical practice.
Flocking control is a new type of control which coordinates the motions among multiple mobile robots. Current researches focus their attention on leaderless flocking controller design. We, in this paper, present the d...
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Flocking control is a new type of control which coordinates the motions among multiple mobile robots. Current researches focus their attention on leaderless flocking controller design. We, in this paper, present the design of a sequential flocking control for multiple mobile robots, and put forward the corresponding performance evaluation method. Firstly, we briefly review the existing theories of agent-based sequential formation control;and then, transfer the agent-based flocking control strategy to the design of overall control algorithm for mobile robots, by considering the dynamics of nonholonomic mobile robot. To analyze the sequential flocking system, a flocking performance analysis method based on the least stability time (LST) is proposed. Simulations of real problems illustrate the processes of control and analysis of a multiple mobile robots sequential flocking system. The simulation results demonstrate the efficacy of our proposed procedure.
Considering the need of an advanced process control in cement industry, this paper presents an adaptive model predictive algorithm to control a white cement rotary kiln. As any other burning process, the control scena...
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Considering the need of an advanced process control in cement industry, this paper presents an adaptive model predictive algorithm to control a white cement rotary kiln. As any other burning process, the control scenario is to expect the controller to regulate the temperature and the period of baking a fixed quantity of raw material as desired, as well as to have the concentration of the combustion gases under control. To achieve these goals, this work presents a strategy which includes multivariable online identification of the kiln process and a constrained generalized predictive controller. An MLP neural network model derived from real plant data of Saveh cement factory in Iran is used as the kiln process simulator. The control efforts are made taken into account the operating constraints. At last the proposed control strategy is modified so as to gain good disturbance rejection ability.
In the flotation process, the concentrate grade and the tailing grade are crucial technical indices which reflect the product quality and efficiency. There are strong nonlinearity and uncertainty in such technical ind...
In the flotation process, the concentrate grade and the tailing grade are crucial technical indices which reflect the product quality and efficiency. There are strong nonlinearity and uncertainty in such technical indices dynamic behaviors, which can hardly be described using accurate mathematical model. The technical indices which cannot be measured online continuously vary with boundary conditions. Therefore conventional control methods are incapable of keeping the actual the concentrate grade and the tailing grade within the target ranges. In this paper, an intelligent control method comprised of the setting layer and the closed loop control layer for the flotation reagent addition to the process has been presented. In flotation reagent feeding setting layer, a unit reagent pre-setting model, a feedback compensator and a feed forward compensator RBR based on (Rule-based reasoning) are integrated with a flotation reagent computation model to set the flotation reagent feeding. The control system updates automatically flotation reagent feeding when the boundary conditions changes. Successfully industrial application has shown that the concentrate grate has been increased by 0.52%, the tailing grade has been reduced by 4%, and the consumption of the flotation reagent feeding has been reduced by 17.5%. Significant application effect has been achieved.
A model-based robust control design approach is considered for a novel direct-drive 4-DOF parallel manipulator aimed at high speed and high precision semiconductor packaging applications. An experimental identificatio...
A model-based robust control design approach is considered for a novel direct-drive 4-DOF parallel manipulator aimed at high speed and high precision semiconductor packaging applications. An experimental identification method is proposed to determine the dynamic model of the manipulator and a robust feedback controller is designed in the frequency-domain using genetic algorithm. Experimental results demonstrate that the motion performance of the 4-DOF parallel manipulator including positioning accuracy and steady-state error is improved significantly when compared with traditional XY, Z and θ motion stages. This shows that the proposed 4-DOF parallel manipulator provides a superior alternative to the traditional motion stages for high-precision motion.
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