Transactions of the Institute of Systems, Control and Information Engineers
New Arrival Alert : OFF

You can use this feature after you logged into the site.
Please click the button below.

Log in / Sign up
ONLINE ISSN: 2185-811X
PRINT ISSN: 1342-5668

Transactions of the Institute of Systems, Control and Information Engineers Vol. 18 (2005), No. 10

  • Data-based Design of Stabilizing Controllers for Linear Time-invariant Discrete-time Systems

    pp. 343-351

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.18.343

    This paper proposes a new framework for designing a feedback control system, called the data space approach, in which a set of experimental input and output data of a dynamical system is directly and solely used to design a stabilizing controller, without employing any, mathematical model such as a transfer function, state equation, or kernel representation. In this approach, the notions of open-loop and closed-loop data spaces are introduced, which respectively contain all the open-loop and closed-loop behaviors of a dynamical system and serve as the data space representations of the system dynamics. By using the geometrical relationship between the open-loop and closed-loop data spaces, a data-based stabilizability condition is derived as a nonlinear matrix inequality (NMI), and the parameters of a stabilizing controller is obtained as an orthogonal vector to its solution. To compute the solution, the NMI is converted to a linear matrix inequality with a rank constraint and a computational algorithm using LMI relaxation and linear approximation methods is applied.
  • Multi Criteria Reinforcement Learning Based on Goal-directed Exploration and its Application to Bipedal Walking Robot

    pp. 352-360

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.18.352

    An effective method of acquiring a complex control policy is requested concerning real systems and real robots in recent years. There are a lot of researches using the reinforcement learning, because the reinforcement learning is an important element technology. In the reinforcement learning, a scalar evaluation of control that is called a reward is set to obtain a desirable behavior. However, the reward is often given as the vector at a complex system control problem. For this case, when the reinforcement learning applies, the method of making the rewards a scalar by the linearly weighted sum, etc. has been adopted. In this paper, we explain that such scalar method is not appropriate. We adopt a framework of multi-criteria reinforcement learning in the handling of the vector of the rewards and the related value functions. In this case, we cannot use the action selection strategy like the ε-greedy strategy adopted in general. Therefore, we show the necessity and importance of the decision-making strategy in the multi-criteria reinforcement learning. We propose the decision-making strategy of selecting effective action candidates by the α-domination strategy and using goal-directed bias based on the achievement level of each evaluation. We apply the proposed method to the walking control problem of the humanoid robot. The physical simulation results show that our method can improve the walking control efficiently.
  • Malfunction Diagnosis of the Feedback System Based on the Gap Metric

    pp. 361-367

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.18.361

    In this paper, we propose a new approach to the malfunction diagnosis problem for feedback systems based on the controller information. We define a fault as any loss of stability of the closed loop system, and a malfunction as a variation from the nominal situation that will develop into the fault, respectively. We supervise and evaluate the variation periodically, and avoid the occurrence of those faults in which gradual changes of plant dynamics result. First, in the supervision, the plant variation is obtained by using a plant model estimated by the closed loop identification scheme proposed by Dasgupta et. al. [14]. Second, the evaluation is achieved by comparing the stability margin of the initial feedback system with the plant variation after the occurrence of any malfunction from the view point of stability of the closed loop system. The gap metric, which is closely related to the stability, is used in order to compare the above two values, and the model variation is captured in terms of the gap metric. However, the exact plant model is unknown, so its upper bound is estimated by using the set membership identification [3, 12, 19, 20] in the Dasgupta's framework. This comparison makes it possible to quantify the reliability of the feedback system.
  • Improvement of Memory-Based Estimation by Distributed Neighborhood Selection

    pp. 368-372

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.18.368

    Memory-based estimation is a method to locally estimate a nonlinear function by using massive data stored in a database. It generally consumes a considerable amount of time on arithmetic processing. To make the memory-based estimation method more practical, it is necessary to reduce the computation time. In this paper, we improve memory-based estimation by distributively executing the estimation algorithm.
  • A Design of State Predictive H Congestion Controllers for TCP/AQM Networks

    pp. 373-375

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.18.373

Article Access Ranking

27 Jun. (Last 30 Days)

  1. Perspective toward Long-term Global Goal for Carbon Dioxide Mitigation in Steel Industry Tetsu-to-Hagané Vol.105(2019), No.6
  2. Hydrogen Embrittlement Susceptibility Evaluation of Tempered Martensitic Steels Showing Different Fracture Surface Morphologies ISIJ International Advance Publication
  3. Production and Technology of Iron and Steel in Japan during 2018 ISIJ International Vol.59(2019), No.6
  4. Effect of a Zn Interlayer on the Adhesion Strength and Corrosion Resistance of Zn–Mg Coated TRIP Steel ISIJ International Vol.59(2019), No.6
  5. Fundamentals of Silico-Ferrite of Calcium and Aluminium (SFCA) Iron Ore Sinter Bonding Phase Formation: Effects of Titanium on Crystallisation during Cooling ISIJ International Vol.59(2019), No.6
  6. A Kinetic Model of Mass Transfer and Chemical Reactions at a Steel/Slag Interface under Effect of Interfacial Tensions ISIJ International Vol.59(2019), No.5
  7. Evaluation of the Structure and Strength of Coke with HPC Binder under Various Preparation Conditions ISIJ International Advance Publication
  8. Recycling of Blast Furnace Sludge to the Blast Furnace via Cold-Bonded Briquettes: Evaluation of Feasibility and Influence on Operation ISIJ International Advance Publication
  9. Evolution Mechanism of Inclusions in H13 Steel with Rare Earth Magnesium Alloy Addition ISIJ International Advance Publication
  10. Continuous Process of Pig Ironmaking using Focused Microwave Beams at 2.45 GHz ISIJ International Vol.59(2019), No.6

Search Phrase Ranking

27 Jun. (Last 30 Days)

  1. blast furnace
  2. blast furnace permeability
  3. blast furnace productivity
  4. phosphate treatment
  5. assimilation
  6. balling index
  7. bubbling ladle
  8. inclusions
  9. isij xafs
  10. lme