The problem of variable structure adaptive fuzzy control for a class of nonlinear time delay systems is investigated. Sliding surface dependent of the time delay is constructed based on the Lyapunov-Krasovskii method....
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The problem of variable structure adaptive fuzzy control for a class of nonlinear time delay systems is investigated. Sliding surface dependent of the time delay is constructed based on the Lyapunov-Krasovskii method. Two adaptive fuzzy logic systems are proposed to approximate two unknown continuous nonlinear functions containing the current state and the delayed state respectively. The corresponding reaching law is designed, which can drive the state trajectory of the closed-system onto the sliding surface within limited time.
A new fuzzy identification algorithm is proposed in this paper, which include five blocks: input variables partition block, fast-cluster block, genetic algorithm block, tuning block and termination block. Fast-cluster...
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A new fuzzy identification algorithm is proposed in this paper, which include five blocks: input variables partition block, fast-cluster block, genetic algorithm block, tuning block and termination block. Fast-cluster block is to identify antecedent parameters of T-S model speedily. Tuning block is to fine tune the parameters of T-S model using the gradient descent approach and termination block checks if the result is satisfactory. The proposed algorithm not only has the advantage of simplicity, but also has high accuracy, strong automation. The simulations indicate that the algorithm is effective in constructing T-S model for complex nonlinear systems.
A new fuzzy identification algorithm is proposed in this paper, which include five blocks: input variables partition block, fast-cluster block, genetic algorithm block, tuning block and termination block. Fast-cluster...
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ISBN:
(纸本)0780382730
A new fuzzy identification algorithm is proposed in this paper, which include five blocks: input variables partition block, fast-cluster block, genetic algorithm block, tuning block and termination block. Fast-cluster block is to identify antecedent parameters of T-S model speedily. Tuning block is to fine-tune the parameters of T-S model using the gradient descent approach and termination block checks if the result is satisfactory. The proposed algorithm not only has the advantage of simplicity, but also has high accuracy, strong automation. The simulations indicate that the algorithm is effective in constructing T-S model for complex nonlinear systems.
According to NARX dynamic network, a learning algorithm of improved RTRL is presented in this paper and applied to adaptive inverse control system, which consists of two NARX neural networks: one is applied to identif...
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ISBN:
(纸本)0780382730
According to NARX dynamic network, a learning algorithm of improved RTRL is presented in this paper and applied to adaptive inverse control system, which consists of two NARX neural networks: one is applied to identify the controlled plant; the other approximates inverse transfer function of the plant. The online training method using NARX is also described in detail. Practical simulation results show NARX-based identifier and controller are feasible and the given algorithm is efficient in the application of adaptive inverse control (AIC).
This paper is concerned with the problem of fuzzy guaranteed cost control of time-delay system with parametric uncertainties based on T-S model. By making out the singular value of the matrix, the biggest extension of...
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ISBN:
(纸本)0780384032
This paper is concerned with the problem of fuzzy guaranteed cost control of time-delay system with parametric uncertainties based on T-S model. By making out the singular value of the matrix, the biggest extension of uncertainty is found. Sufficient conditions for the existence of a control law and an upper bound of cost function for the closed-loop system are given in terms of linear matrix inequality (LMI). It is proved that such an optimal fuzzy guaranteed cost control law exists. A procedure is given to select an optimal fuzzy guaranteed cost controller to minimize the upper bound of quadratic performance index.
This paper discusses the problem of robust L/sub 1/ filtering with pole constraint in a disk for linear continuous polytopic uncertain systems. The attention is focused on the design of full-order and reduced-order fi...
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This paper discusses the problem of robust L/sub 1/ filtering with pole constraint in a disk for linear continuous polytopic uncertain systems. The attention is focused on the design of full-order and reduced-order filters with suitable dynamic behavior via parameter-dependent Lyapunov functions such that the filtering error system remains robustly stable, and has a guaranteed L/sub 1/ performance constraint and pole constraint in a disk. The admissible filter with suitable dynamic behavior can be obtained from the solution of convex optimization problems.
Ternary solution with NaCl and sucrose is widely employed in the osmotic dehydration process of food. In this paper we present a multifunctional sensor capable of directly sensing temperature and two physical paramete...
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Ternary solution with NaCl and sucrose is widely employed in the osmotic dehydration process of food. In this paper we present a multifunctional sensor capable of directly sensing temperature and two physical parameters of solutions, namely ultrasonic velocity and electrical conductivity. By combination measurement of these three measurable parameters, the concentrations of various components in ternary solution with NaCl and sucrose can be simultaneously determined. A regression algorithm based on natural cubic spline interpolation and the least squares method is developed to estimate the concentrations of NaCl and sucrose, which considers the temperature influence on the multifunctional sensor and then enables decoupling of the reconstruction of concentrations in 4D space into 3D space. This sensor could prove valuable as a process control sensor in food industry.
An important method in pattern recognition is k nearest-neighbor classification. However, its computational complexity limits its real-time applications. The partial distance search is a solution to this problem. Alth...
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An important method in pattern recognition is k nearest-neighbor classification. However, its computational complexity limits its real-time applications. The partial distance search is a solution to this problem. Although it is not very effective, it can be combined with other algorithms to reduce the complexity. The paper proposes an indexing method that uses the variance vector of feature vectors of a design set to improve the efficiency of the partial distance search. Experimental results indicate the effectiveness of this indexing preprocessing
This paper proposes a fully digitized hardware design scheme of a vector-controlled servo controller, which is verified and implemented on one-chip field programmable gate arrays (FPGA), for high-performance servo dri...
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This paper proposes a fully digitized hardware design scheme of a vector-controlled servo controller, which is verified and implemented on one-chip field programmable gate arrays (FPGA), for high-performance servo drives of the permanent magnet synchronous motor (PMSM). This scheme integrates the vector control strategy, the M/T speed measurement algorithm, the PI regulating technique and the SVPWM principle as well as the EDA design methodology, and it will be a good substitute for traditional PMSM drives practice. The realized control IC also contains a standard host communication interface, which enables the on-line configuration for all kinds of control parameters. The actual sample frequencies of the torque loop and the speed loop are limited by the selected FPGA; with respect to the Altera FPGA prototype mentioned in this paper, the two loops can respectively obtain a sample frequency of 40kHz and 20kHz as well as a bandwidth of 5 kHz and 400 Hz. Experimental results indicate that the controller can provide a controllable speed range from 0.2 RPM to 10,000 RPM with satisfactory dynamic and static performances.
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