Abstract-In this paper, a design of a modified Internal Model Control for an unstable plant with an integrator in continuous-time system is proposed. The system becomes a stable system by stabilizing an unstable plant and it does not cause a steady-state error by an input side disturbance for an unstable plant with an integrator. We describe details of the proposed method including a design of stabilizing an unstable plant, a design of a disturbance compensator, and a design of whole system. In the simulation study, these simulation results are shown that the proposed method has a superior performance. The nominal plant and the plant with a modeling error can be stabilized and the proposed method can reduce influence by in an input side disturbance of an unstable plant.

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Abstract-These In this paper, the control of the pneumatic actuator using Dahlin algorithm is proposed. Dahlin algorithm has problem which cause a steady-state error by an input-side disturbance for an integrator plant with time delay. In addition, it has problem which not ensure follow-up to a response model by parameter error of controller. To solve these problems, we introduce discrete-time IMC and iterative least squares technique. Our proposed method can remove a steady-state error caused by an input-side disturbance for an integrator plant with time delay by introducing discrete-time IMC and ensure follow-up to a response model by introducing iterative least squares technique. In the simulation, it is shown that the proposed method has a superior performance for an integrator plant with time delay. Furthermore, by applying the proposed method to a pneumatic actuator, the effectiveness of the method is examined and confirmed.Index Terms-Dahlin algorithm, discrete internal model control, auto-tuning.

In this paper, a method for positioning control based on zero phase error tracking controller (ZPETC), optimal control method for plant with dead-time is proposed. A discrete transformed unstable plant is composed of unstable zeros and poles. In the proposed method, we subject stabilization of a plant by optimal control method, compose inverse model of a system with unstable zeros by ZPETC and control a plant with dead-time by predicted-state feedback technique and modified smith predictor composed of a predictor and an observer. In addition, optimal control method achieves good robustness for modeling errors by adjusting the weight of the LQR-scheme. The simulation studies and the experimental result, it is shown that the proposed method is effective for these plants and DC motor.

For storing and managing enormous data, NoSQL databases have been employed recently on behalf of RDB since NoSQL is high-performance and scalable. However the differences of the data structures and the manipulation languages give the developers pause in making the shift to the systems using NoSQL. In this paper, we report a converter which takes an SQL statement as input to generate an equivalent code of target language of NoSQL. MongoDB and HBase were selected as the target languages while we attempted to implement an SQL analyzer and coordinate the code segments of the programming languages. As the result of the evaluation experiment, 13 MongoDB queries and 9HBase ones were derived from 32 example SQL statements.キーワード: 関係データベース，NoSQL，SQL，開発者支援，プログラミング言語 relational database, NoSQL, SQL, developer support, programming language