In this paper, we propose a novel time-frequency analysis method for speech, which consists of 1) subband decomposition by the holomorphic filterbank proposed by us, and 2) detection of time-frequency zeros. By theoretical analysis and experiments, we show that 1) voiced speech generates a stable two-dimensional (2-D) maps of zeros which are different vowels by vowels, 2) it represents pitch structure, formant structure, and glottal excitation instance, which are important for analyzing voiced speech in frequency and time domain.

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Digital differentiators of higher degrees are generally realized by cascading multiple first-degree differentiators, which makes them computationally inefficient. In our previous work, we have presented closed form designs of first-degree maximally linear digital differentiators based on the Taylor series. In this paper, we extend that work and present new designs of maximally accurate digital differentiators of arbitrary degrees. Explicit formulas and recursive relationships between tap-coefficients are given, which make their computation very simple.

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Control problems have been experienced with FOPTD-based tuning methods when the normalized dead time is small. To overcome these it has been proposed to instead use an IPDT model for controller tuning. This work investigates, for the gain and phase margin approach, how to choose between using either FOPTD-based or IPDT-based PI control.

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This paper proposes a new control design method for a continuous-time system with time-delay based on the way of designing generalized minimum variance control (GMVC). In addition, it is shown that the method which internal model principle was used for as the technique to remove offsets is effective.

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An industrial controller is designed with the neuro-fuzzy model based on Sugeno-type fuzzy inference, which can be tuned itself by the neural network mechanism based on a gradient descent technique. The proposed method is experimentally tested by varying of process parameters, set points and load disturbance. The level and temperature controls are used to evaluate the efficiency of our controller.

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This paper reports how to utilize a virtual simulation environment embedding a dynamic process simulator for the purpose of process operation and control system design in industrial production systems. Virtual simulation environment using rigorous model based dynamic simulator, multi-variable model predictive optimizing control and online process optimizer has been developed and applied to the fluid catalytic cracking unit control.

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In this paper, we propose an intelligent control system which cooperates with human. This system gives power to reflect the will of the computer to human's operation. This system consists of predictive fuzzy controller” and “cooperation controller.” The effectiveness of this system is confirmed by experiments that human operates a virtual vehicle.”

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An intelligent digital redesign (IDR) technique for the Takagi--Sugeno fuzzy observer-based output-feedback (FOBOFC) control system with estimated premise variables is developed. The IDR condition is parameterized as a numerical minimization problem of the norm distances between linear operators to be matched. The exponential stabilizability by the redesigned digital FOBOFC is proved.

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To overcome the effect of modeling errors between nonlinear multiple time-delay subsystems and Takagi-Sugeno (T-S) fuzzy models with multiple time delays, a robustness design of fuzzy control is proposed in this paper. In terms of Lyapunov's direct method, a delay-dependent stability criterion is hence derived to guarantee the asymptotic stability of nonlinear multiple time-delay large-scale systems.

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This paper proposes a reconfigurable controller design method in the case that full state feedback is not permissible. A new sufficient condition to guarantee the stability of output feedback reconfigurable controller is suggested. Based on the new condition, an algorithm is introduced that preserves much of the dynamics of the original unfailed system using eigenstructure assignment and genetic algorithms.

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This paper addresses the relationship between the simultaneous stabilizability and the strong stabilizability with a one-side coprime factorization. We present that if we have one-side coprime factorization, solving the simultaneous stabilizability of the multidimensional system can be recast as solving the strong stabilizability.

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This paper provides an application of the virtual reference feedback tuning (VRFT) method. The VRFT method determines parameters of a feedback controller directly using a set of input and output data. The VRFT method is applied for a design of a multi-input multi-output system. Experimental test is carried out and test results show availability of the VRFT method.

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This paper presents a framework for integrated assessment of export performance in chemical industries. The integrated approach discussed in this paper is based on principal component analysis (PCA). To achieve the objectives of this study, a comprehensive study was conducted to locate export indicators based on international standards.

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Two simple PID design methods, IMC and GPM, that use robustness as their main design criterion are applied to a multi-loop PI control configuration which is being used to control a multivariable process against load disturbances. The controlled performance is compared both with and without decouplers and in the prescence of process model mismatch.

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A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as graph structures which have distinguished expression ability. In this paper, we propose GNP with Reinforcement Learning. Evolutionary algorithm of GNP makes a very compact graph structure and Reinforcement Learning of GNP improves search speed for solutions.

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According to the brain science, it is suggested that there exists cerebral functional localization, which means that a specific part of the cerebrum is activated depending on various kinds of information human receives. The aim of this paper is to build an artificial model to realize functional localization based on GNP, a new evolutionary computation method recently developed.

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This paper presents a novel method to speed up neural network based face detection systems. The method formulates the search problem as an integer nonlinear optimization problem and expands the basic particle swarm optimization to handle it. Experiments results show that to find a face, only a small number of subwindows need to be evaluated compared to using the classical technique.

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Mathematical method has been introduced for computing viscosity and thermal conductivity of gene regulating particles. The particles were assumed to rigid sphere with high density. The pair correlation function for two singlets were approximated by the Taylor expansion.

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The paper focuses on the circadian rhythm, and addresses the problem of locating dynamic components that are necessary for the generation of the persistent oscillation. An attempt is made to provide an answer by means of control systems theory instead of viewing the importance of materials in biological process.

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Anterior guidance by two canines, occlusion and bruxism have been simulated by a 6-DOF mastication motion simulator. Those modes were realized by generalized hybrid control. It will be shown that such a mastication motion simulator is quite useful to confirm and understand various hypotheses on anterior guidance and bruxism, and also to provide a new approach for tooth-treatment.

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In this research, EOG (Electrooculogram) signal was analyzed to predict a subject's intention using a fuzzy classifier. The fuzzy classifier was built automatically based on EOG data by evolutionary algorithm. For automatic fuzzy classifier construction without any experts' knowledge, a new evolutionary algorithm is proposed. A new representation scheme, a new fitness function and adequate evolutionary operators were designed for the proposed evolutionary algorithm.

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In this paper, we propose a new chaotic itinerant model of mode transition dynamics in human circulatory systems. An essential emphasis of the model is on autonomous mode transition based on chaotic itinerancy of large-scale nonlinear systems. It is shown that the model possesses some important properties observed in the circulatory systems, such as mode transition and its controllability.

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This paper descries a method to estimate the sleep stages by using non-invasive air mattress. The proposed sleep stage estimation method employs two indices: Hrf(Heart Rate Fluctuation) and Bm(Body Movement). Based on these indices, a robust sleep stages estimation method is presented.

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This paper proposes a simulation-based scheduling system to optimize multiple objectives such as minimizing energy consumptions, minimizing makespan, minimizing tardiness and keeping upper bound of power contracts. This scheduling system enables us to generate several alternative plans and to select the most desirable plan by evaluating alternatives through different criteria.

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A graph based approach is described for the automatic synthesis of operating procedures in process plants. Plant structure and material processing information are independently modeled by directed graphs, respectively. Subgraph-isomorphism search algorithm is utilized to find path of material conversions and to allocate each process on a specific equipment. The method is successfully demonstrated on a double effect evaporator.

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Hypersequential programming is a new way of concurrent-program development, in which the original concurrent program is first serialized, then tested and debugged as a set of sequential programs (scenarios), and finally restored into the target concurrent program by parallelization. Both high productivity and reliability are achieved by hypersequential programming because testing and debugging are done for the serialized versions and correctness of the serialized programs is preserved during subsequent parallelization.

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Analysis tools are presented for C&P/D&A co-observablities in decentralized supervisory control systems, which are developed as M-files of MATLAB. Using the tools developed, a collision avoidance problem among three part-sorting robots in ship yard is investigated.

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Petri net is a tool for discrete event systems. This paper studies analysis of Petri net extended with batch processing arcs. If a batch processing arc is connected from a place p to a transition t, firing of t removes all tokens in p. Turing machine equivalence and liveness condition of subclasses of batch Petri net are shown.

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This paper is concerned with the walking behavior strategy of a spider-robot for the realization of walking as creatural spiders. The spider takes various walking forms corresponding to the environmental information. Using fuzzy and neural networks, the mechanism of these walking behaviors is examined and verified through simulation and experiment.

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This paper discusses the general hardware, OS, and software development tools for distributed, Internet enabled, embedded control systems for mobile robots. The presented methodology is applicable not only in the field of mobile robot control, but in the research ares like large and distributed real-time control systems, too. A specific application to Internet control of mobile robot is discussed.

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A stand alone wearable power assisting suit was developed, which gives nurses the extra muscle they need to lift their patients and avoid back injuries. The suit consists of shoulders, arms, back, waist and legs units to be fitted on the nurse’s body. The arms, shoulders, waist and legs have pneumatic rotary actuators driven directly by micro air pumps.

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A robust model following scheme Nominal Model Following Control (NMFC) is developed in this paper. Then, a simple robust controller are also designed and augmented with NMFC to reduce the effects of parameter variations and external disturbances further. The proposed control design techniques are employed to show the practicality of the technique for controlling induction servomotor system models.

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In this paper, multi-objective structure selection of RBF networks based on evolutionary computation is considered. The RBF network structures are encoded to the chromosomes in GA. Then, they evolve toward Pareto optimum defined by some objective functions concerning with model accuracy, model complexity and connection weights. Some numerical simulation results indicate that the proposed approach can give Pareto optimum structures.

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This paper studies a property of neural network architecture for non-linear modeling. This method was proposed in our previous work and has three improvements; 1) the design of a sigmoidal function with localized derivative, 2) a deterministic scheme for weight initialization, and 3) an updating rule for weight parameters. We discuss its robustness against noise based on simulation results.

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In this paper, a new robust control method and stability analysis method using the higher order derivatives of universal learning networks are discussed. The application of these two methods to a Photovoltaic-supplied, separately-excited DC motor with a constant load torque is also studied. The simulation results of the proposed robust control and stability analysis method showed that the robustness of the DC motor system is improved and its stability can be analyzed easily.

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A neural network (NN) based feedforward controller in the framework of neurointerface is proposed for nonholonomic mobile robots by applying a virtual master-slave system, where a master robot is assumed to have a stable inverse dynamical model. A PD feedback compensator is also added to the neurointerface to suppress an output deviation caused by the mapping error of NN.

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Recently, soft computing techniques have been applied successfully to various actual problems. In this paper, we propose a new decision support system for dealing stocks which improves the traditional technical analysis by using GAs. Further, we also briefly touch upon our recent trial utilizing NNs for this objective. Several computer simulation results confirm the effectiveness of the proposed DSS.

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In this review, the following three projects, which were performed at NIST during my visit as a guest researcher, are described. (1) Characterization of a high-pressure controlled-clearance piston gauge. (2) International comparison of working pressure standards in the range up to 200 MPa. (3) Accurate determination of differential pressure between two pressure balances using a pressure transducer.

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Aiming at improving the mass standards, calibrations of standard weights of 1 kg to 20 kg have been performed by using a multiple calibration method. As the reference standards of the multiple calibration method, two 1-kg stainless-steel weights, whose mass and volume are traceable respectively to the Prototype Kilogram and the silicon sphere, are used.

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The differential pressure standard in the range from 1 Pa to 10kPa has been developed by the method using double pressure balances. In this report, the principle and the calibration system for the method are described in detail. The experimental results obtained from the system showed a good reproducibility regarding the pressure generated. The uncertainties of the pressure are estimated.

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Change in Mass Standards with a passage of time affect uncertainty of measurement on mass traceability. We have tried to verify the changes of mass standards used for daily work by staff members in charge of balance calibration because we have calibrated our mass standards by SCS (Swiss Calibration Service) initially and re-calibrated also by JCSS (Japan Calibration Service System).

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We report a noise reduction algorism concerning about visual motion processing implemented with digital vision chips. The algorism is based on MAP estimation for Markov random vector fields, where Cauchy distribution is used to reduce noise and to detect motion discontinuities. Simulation results show that good estimate and their distinct discontinuities are obtained within a few steps of iterations.

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We introduced the method of detecting high-speed and high-precision optical flow using the linear-time optical flow algorithm and the high-speed smart camera with which high frame rate images can be captured and image processing can be performed inside the camera. We performed motion segmentation using Minimum Spanning Tree which is very simple algorithm and enables real-time processing.

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In this paper, we propose an efficient motion recognition technique based on an eigenspace method. In the proposed system, we use a motion history image and a superposed motion image to create an eigenspace and it is employed for the real time motion recognition. Experimental results show satisfactory performance of the technique.

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Quasi-simultaneous recognition of plural targets composed of the ball, the goal, and the robot, and motion control of robot using recognition method were performed. We employ Genetic Algorithm(GA) to execute recognition process by model-based matching method, and motion control of soccer robot is performed using the position information of targets obtained by recognition result.

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We developed an opto-fluidic control system combined with opto-fluidic converter, fourth stages of LPA cascade amplifier, pneumatic servo valve, own optical rotary encoder using optical fibers, and so on. This reports chracteristics of these components mainly.

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With respect to an elderly person who is not physically handicapped, the bone fracture in tendency to fall sometimes becomes a big issue. Therefore, we propose a new type of body protection orthosis by using a pneumatic element. In this paper, basic characteristic of the element that is used in the orthosis is clarified through some experimental results.

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This paper presents a novel control scheme in which internal model control (IMC) is combined with GA. An IMC can minimize disturbance and use only one tuning parameter. But it is not so easy to design an optimal parameter for a specific system. In this paper, we use GA to obtain the optimal tuning parameter on-line after some generations.

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The purpose of this study is to develop a wearable power assist device for hand grasping in order to support Activity of Daily Living (ADL) safely and easily. In this paper, the mechanism of the developed power assist device is described, and then the effectiveness of this device is discussed experimentally.

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