Showing papers in "Annual Reviews in Control in 2004"

TL;DR: In this article, the authors present a short introduction to the field and show some applications for an actuator, a passenger car, and a combustion engine, as well as other types of systems.

TL;DR: In this article, a medical forceps system with tactile and force feedback ability desired by surgical robots is developed, which can decompose into the common and the differential modes in acceleration based controller.

TL;DR: Both structural and algebraic enhancements of decentralized feedback will be considered, with convex optimization as a common mathematical framework, which leads to computationally efficient design strategies that are well suited for large-scale applications.

TL;DR: The methods considered cover the following areas: tailoring of nonlinear programming algorithms to the structure of the online optimization, use of the optimal control formulation of the receding horizon problem, constraint and cost approximations based on state space partitioning, and reparameterization of the degrees of freedom in predictions.

TL;DR: In this paper, the authors presented the evaluation of commercial off-the-shelf (COTS) AUV technology for mine counter measures (MCM) operations in response to terrorist mining of port.

TL;DR: A stochastic dynamic programming algorithm was developed and applied to the energy management of this FCEV, which allow fuel economy optimisation while keeping a good driveability.

TL;DR: The requirements of the modeling language and software tool for simulation of mechatronic systems are stated and an experience of use of DYMOLA with Modelica language in the simulation of a complete machining center is described.

TL;DR: The paper describes several examples where the notion of virtual constraints which are forced by feedback has been used, in a variety of control problems, as a main tool for constructing orbitally stable feedback laws.

TL;DR: In this paper, the authors focus on the future tasks and direction of Chassis control technologies that mainly control cornering performance including 4WS, with three generations of chassis control system development.

TL;DR: The aim of this paper is to provide a pilot study that demonstrates the efficacy of stochastic predictive control as a tool for assessing policy in a sustainable development problem concerning allocation of public research and development budgets between alternative power generation technologies.

TL;DR: Real-time control system consists of a multi-layered multi-resolutional hierarchy of computational agents each containing elements of sensory processing, world modeling, value judgment, behavior generation, and a knowledge database.

TL;DR: A rigorous solution method to obtain nearly optimal state feedback control that takes into consideration, actuator saturation, state space constraints, and minimum-time control requirement is presented.

TL;DR: A state-of-the-art nonlinear model predictive controller for periodic unstable systems, and applies the method to a dual line kite that shall fly loops, which leads to significantly improved performance compared to the LQR controller, in particular as it respects state constraints.

TL;DR: The design robustness of an electric warship engineering and damage control system of systems is considered as an illustrative example with respect to uncertainties including technology readiness, mission creep, and operational environment.

TL;DR: The hypnosis control system that is under clinical application at the Day Surgery Unit of Kyoto University Hospital at present is developed and the experience is introduced from the view point of complex-system control engineering.

TL;DR: This note presents an algorithm for calculation of low-complexity polytopic-invariant sets for linear continuous-time systems with complex conjugate closed-loop eigenvalues.

TL;DR: Limitations arising at the component and system levels are both discussed and results from modeling, analysis, simulations and experiments are used to motivate and demonstrate several trade-offs and performance limitations in AFM.

TL;DR: Two types of dexterous locomotion robots and their controller design approaches are introduced and a monkey-type robot “Brachiator III” which achieves a more dexterous motion with 13 degrees of freedom is discussed.

TL;DR: In this paper, the authors highlight the role played by particular structures in the solution of some control problems, such as disturbance rejection, model matching and non-interaction, and some interesting new issues in the dual context of failure detection are also sketched.

TL;DR: This paper reviews methodologies where some of those assumptions can be relaxed partially and the basic concepts behind those methodologies and the restrictions are summarized, and the future possibilities of the methods are also discssed.

TL;DR: It is shown that maximum processor utilisation has become obsolete as an optimisation criterion for industrial real-time systems and the earliest-deadline-first discipline is shown to provide a satisfactory and final answer to all real-life scheduling needs.