In this paper, with a new look at emotional controller and modifying its structure; a novel approach to hierarchical control of large-scale systems is introduced. Design of controller is founded on emotional learning ...
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In this paper, with a new look at emotional controller and modifying its structure; a novel approach to hierarchical control of large-scale systems is introduced. Design of controller is founded on emotional learning and the control system consists of neuro-fuzzy controller, whose weights are updated according to emotional signals. This signal is produced in a block called critic, whose job is to evaluate system behaviour. Simulation results demonstrate that the proposed learning scheme, which is applied to a nonlinear three-tank system, provides better control reliability and robustness than classic robust schemes.
The paper considers a set-membership joint estimation of variables and parameters in complex dynamic networks based on parametric uncertain models and limited hard measurements. The recursive estimation algorithm with...
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The classification of protein structures is essential for their function determination in bioinformatics. The success of the protein structure classification depends on two factors: the computational methods used and ...
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The paper addresses control design for an aeration system within a hierarchical structure for an integrated control of dissolved oxygen in the activated sludge processes. in the paper the hybrid predictive controller ...
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Design of analog baseband filtering topology for application in multiple standard wireless systems has been evaluated. Two versions of GSM channel filter implemented as finite impulse response (FIR) discrete time filt...
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Design of analog baseband filtering topology for application in multiple standard wireless systems has been evaluated. Two versions of GSM channel filter implemented as finite impulse response (FIR) discrete time filter in switched capacitor (SC) technique are presented. The GSM baseband channel filters have been realized in CMOS 0.8/spl mu/m and subsequently re-designed in 0.35/spl mu/m process for GSM/WCDMA application.
An integrated approach to control of quantity and quality in water supply and distribution systems is proposed. The integrated control consists in optimising the operational cost, meeting a demand on water of desired ...
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An integrated approach to control of quantity and quality in water supply and distribution systems is proposed. The integrated control consists in optimising the operational cost, meeting a demand on water of desired quality and maintaining the system constraints. This constrained optimising control problem is complex due to nonlinearities, large dimension, output constraints, mixed-integer structure of the variables involved, at least two time scales in the system dynamics and an uncertainty. A sub-optimal two-level hierarchical control structure is proposed that allows incorporating the desired controller functions and yet making the synthesis of these functions possible. The algorithms for implementing the functionalities are proposed and discussed. Detail design of the lower level controller is presented and investigated. The controller performance is validated by simulation. [ABSTRACT FROM AUTHOR]
This paper developed an adaptive estimation method to estimate unknown disturbances in a class of nonminimum phase nonlinear MIMO systems. The unknown disturbances are generated by an unknown linear exosystem. The fre...
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This paper developed an adaptive estimation method to estimate unknown disturbances in a class of nonminimum phase nonlinear MIMO systems. The unknown disturbances are generated by an unknown linear exosystem. The frequencies, phases and amplitudes of the disturbances are unknown, the only available information of the disturbances is the number of distinctive frequencies. The system considered in this paper is a class of MIMO nonlinear systems in the output feedback form, the system can be nonminimum phase. The proposed estimation algorithm provides exponentially convergent estimates of system states, unknown disturbances in the system and frequencies of the disturbances characterized by the eigenvalues of the exosystem. Moreover, the disturbance rejection control law is constructed by combining the stabilization controller designed without considering the disturbances and the estimates of the disturbances. The control law compensates the unknown disturbances completely while maintains the stability of the whole closed-loop system.
For multi-input ARX systems, we present a multi-innovation least squares (LS) identification algorithm by extending the innovation modification technique. Since the proposed algorithm uses p input-output data at each ...
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For multi-input ARX systems, we present a multi-innovation least squares (LS) identification algorithm by extending the innovation modification technique. Since the proposed algorithm uses p input-output data at each iteration (p being an innovation length), it improves the accuracy of the parameter estimation. Moreover, we introduce a varying iterative interval scheme in the standard LS algorithm and propose a varying iterative interval multi-innovation LS algorithm, which can deal with missing data cases. Finally, the simulation results show that the proposed algorithms have an advantage over the LS algorithm.
In this paper, we investigate a new type of hybrid element to realize a human-friendly support device. The element is a flexible actuator (called Sponge Core Soft Rubber Actuator) and its structure is a soft mechanism...
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In this paper, we investigate a new type of hybrid element to realize a human-friendly support device. The element is a flexible actuator (called Sponge Core Soft Rubber Actuator) and its structure is a soft mechanism in which a sponge rubber is covered with silicone rubber. In addition to its actuation capability, the element can estimate external forces by making use of the relation between inner pressure and external force. Therefore, the element can be used as a hybrid element that has both actuator and force sensor functions. This paper discusses the hybrid element design, actuator characteristics, and force control and sensing abilities of the element. Experimental results are presented to illustrate the practical effectiveness of the proposed hybrid element.
The discrete-time speech signals obtained by Nyquist uniform sampling (NUS) have two kinds of redundant samples. One originates from the time-varying instantaneous bandwidth. The other originates from non-compactness ...
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The discrete-time speech signals obtained by Nyquist uniform sampling (NUS) have two kinds of redundant samples. One originates from the time-varying instantaneous bandwidth. The other originates from non-compactness of spectral support (SS) in time-frequency domain (TFD). In this paper, the sub- Nyquist nonuniform sampling (SNNS) and the perfect reconstruction (PR) formula are proposed for removing the redundant samples due to the time-varying instantaneous bandwidth (IB) in speech signals. In the proposed method, the instantaneous sampling frequency (ISF) varies, depending on the least upper boundary of spectral support of a speech signal in TFD. The definition of the IB, which determines the ISF and is used for generating the set of samples that represent continuous- time signals perfectly, is given.
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