## Large-Scale Systems Control and Decision MakingSix contributors from Japanese universities explore the basic theory and methodology of control and decision making in systems that either contain many variables or have some special characteristics such as multiple subsystems or control stations, a decentralized and/or hierarchical information stru |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Models of LargeScale Systems | 3 |

Stability of Composite Systems | 31 |

Control of Composite Systems | 71 |

Decentralized Control Systems and Fixed Modes | 97 |

Optimal Control of Decentralized Systems | 121 |

LargeScale and TwoLevel | 151 |

### Common terms and phrases

algorithm analog computer analysis Applications Araki aspiration level assume Assumptions Automatic Control circuit closed-loop system composite model composite system conditional utility function consider constraints control problem convex dependence convex function CS-dl CS-f Dantzig-Wolfe decomposition decentralized control system decision maker decision problem decomposition defined denotes described diagonal matrix directional derivative eigenvalues equations exists fixed modes given by Eqs gradient group utility IEEE Trans information structure input interactive interconnections Kuhn-Tucker large-scale systems linear linear programming Lipschitz-continuous locally Lipschitz Lyapunov function Lyapunov stability M-matrix matrix Minimize nonlinear nonlinear programming nonnegative normalized conditional utility objective function obtain optimal control optimal solution optimality condition optimization problems parameter positive-definite result s-partition satisficing satisfied scalarization function Shimizu solve stability station subproblem subsystems Tamura Theorem Theorem 2.1 theory tion two-level utility function utility level value function vector well-posedness Yoshikawa