CDC2000 Hybrid Control Applications

Hybrid Control Applications
Home Full List of Titles 1: Proceedings of CDC2000 Discrete Event Systems Control in Communication Systems Optimal Control and Applications I Optimisation Approaches and Methods Model Predictive Control Advances in Linear Estimation Stochastic and Uncertain Systems Nonlinear Control and Applications Nonlinear Estimation and Filtering Formation Control and its Applications New Approaches to Fuzzy Control Manufacturing Systems Automotive Applications Stability Issues in Hybrid Control Recent Advances in Stochastic Networks Optimal Control and Applications II Robust Controller Design - mu, L1 and H2 Constrained and Receding Horizon Control Identification and Control around the World Markov Decision Processes Nonlinear Optimisation Observers for Nonlinear Systems Motion Planning Neural / Fuzzy Stability and Control Motor Control Control of Quantum Phenomena I Hybrid Systems Methods Control in Communication Networks Robustness and Optimisation Bumpless Transfer, Antiwindup and Saturation Adaptive Control: Linear Systems Estimation and Closed Loop Identification Control of Markov Processes Nonlinear Filtering and Control Modelling, Identification and Validation of Nonlinear Systems Differential Geometric Control Theory for Mechanical Systems Nonlinear Output Feedback Control Pneumatics and Compression Systems Control of Quantum Phenomena II Stability of Hybrid Systems Performance Analysis in Communication Networks Adaptive Control of Nonlinear Systems LMI Methods in Design Robust Control of Time Delay Systems Subspace Identification Methods Nonlinear Stochastic Filtering and Estimation Bifurcations, Chaos and Control I New Progress in Synthesis of Nonlinear Systems I Implementation Issues of Sliding Mode Control Theory Control of Mixing in Shear Flows Novel Neural Network Control Techniques for Industrial Motion Control Systems Physiological Control Systems Optimal Control of Hybrid Systems Stochastic Models for Communication Networks Control and Stabilisation of Nonlinear Systems New Directions in Robust Control Linear Systems Theory Advanced Topics in Systems Theory Estimation in Action Bifurcations, Chaos and Control II New Progress in Synthesis of Nonlinear Systems II Numerical Design and Analysis Techniques for Nonlinear Systems Analysis and Control of Underactuated Systems Sliding Mode Control I Challenges in the Application of Control to Computer Systems Estimation and Diagnosis of Discrete Event Systems Communications and Games Optimal Control Stochastic Systems Model Reduction Methodologies Identification and Subspace Methods Applications of Nonlinear Adaptive Control Advances in Nonlinear Output Feedback Design The Behavioural Approach to Systems and Control Vision Based Estimation and Control: Recent Advances and Open Problems Agile Control of Military Operations Sliding Mode Control II Model-based Fault Diagnosis of Industrial Processes Discrete Event Systems / Petri Nets System Identification and Confidence Estimation New Approaches to H-Infinity Control I Probabilistic Approaches to Robust Control Time Delay System Stabilisation Identification Methods Controlled Stochastic Processes Output Feedback of Nonlinear Systems Topics in Nonlinear Stabilisation Mobile Robots: Tracking Control Robust Control of Nonlinear Systems Power Systems Stabilisation and Control Disk Drive Control Hybrid Control Applications Discrete Time Systems New Approaches to H-Infinity Control II Linear Systems with Saturating Actuators New Theories in Distributed Parameter Systems Applications of Estimation and Identification Stochastic Control and Tuning Methodologies Control of Nonlinear Systems Iterative Learning and Control Coordinating Robot Systems Nonlinear Time Varying Systems Novel Applications of Neural Networks Aerospace Applications Switched Systems Implicit and Descriptor Systems LQG Periodic Systems and Disturbances New Horizons for Distributed Parameter Systems State Estimation Learning and Neuro-Control Nonlinear Control and Stabilisation I Tracking Vision Servoing Controllability of Nonlinear Systems Control of Flexible Systems Electro-Mechanical Systems Robust Control Methods and Applications Fault Detection and Diagnosis Optimisation and Applications Robust Stability Analysis Numerical Methods in Control Filtering in Continuous Time Stochastic Systems Interplay between Control and Signal Processing Fault Detection and Analysis Nonlinear Dynamical Systems Nonlinear Time Delay Systems Computational Issues in Nonlinear Control Disturbance Rejection Process Control Industry Applications Linear Parameter Varying Systems Linear Control Systems Dynamic and Nonlinear Programming Model Reduction Applications New Techniques for Control and Systems: Numerical Linear Algebra Estimation and Identification using Hidden Markov Models Applications of Stochastic Control Topics in Linear Design Nonlinear Control and Stabilisation II Ambulatory Robot Systems Chaotic and Oscillatory Systems Biomedical System Control Integrated Control and CPU Scheduling Linear Design Techniques Adaptive Disturbance / Noise Compensation Nonlinear Model Predictive Control Sensitivity Design, Analysis and Limitations Analysis of Linear Systems Linear Matrix Inequalities in Design Lyapunov's 2nd Method Robotics: Tracking Control Lagrangian and Hamiltonian Theory Variable Structure Control Machine Vision Signal Processing Methods in Control Applied Nonlinear Control Author Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z	Hybrid Tracking Control for Spark-Ignition Engines Authors: Andrea Balluchi, Antonio Bicchi, Canio Caterini, Carlo Rossi, A.L. Sangiovanni-Vincentelli, Volume: 1, Page 3126 Paper number 1940 Abstract: The design of a torque tracking controller for a spark ignition engine is presented. A hybrid model that describes the interacting behavior of the intake manifold, the engine, the power-train and the catalytic converter is illustrated. The proposed control is obtained by (i) decoupling the control problem into two subproblems, and (ii) relaxing each of the two subproblems to yield problems that can be solved with classical control techniques. The control law so obtained is mapped back into the hybrid domain. The quality of the proposed hybrid control feedback is demonstrated analytically and by simulations on the full-fledged hybrid model. CD001940.PDF (From Author) TOP Optimal Control Strategy For High Jump Based On Complementarity Modeling Authors: Toshihiro Yokozawa, Shinji Hara, Masato Ishikawa, Volume: 1, Page 3132 Paper number 1394 Abstract: This paper proposes an optimal control strategy for a jumping robot system based on the complementarity modeling. We consider a variable constraint jumping system consisting of a robot part and an environment(catapult) part. Such a system can be efficiently modeled as a complementarity system, in the sense that the discontinuous phenomena such as collision or separation are handled in a unified framework. First of all, we give a simple criterion to judge the contact/taking-off condition based on the complementarity modeling. Secondly, we formulate an optimal control problem to maximize the peak height in a jump and give a numerical solution; due to the pre-specified input limitation, the resulting control is of bang-bang type. Finally the optimal controller is analytically reconsidered and is implemented as a switching state feedback law. CD001394.PDF (From Author) TOP Simultaneous Identification and Control of a Hybrid Dynamic Model for a Mobile Robot Authors: David J. Austin, Volume: 1, Page 3138 Paper number 9903 Abstract: A mobile robot moving in an office environment is a hybrid dynamic system. As the robot becomes constrained by obstacles in the environment, the dynamics of the system change. Thus, the robot has a number of distinct states with differing dynamics, corresponding to the different obstacles in the environment. Discrete switches between the states occur when the motion of the robot becomes constrained by a new obstacle or the robot moves away from a previously constraining obstacle. This paper presents a new method for the identification of a model of this hybrid dynamic system. Simulated results are given demonstrating the applicability of this method to identification of hybrid dynamic systems. A simple controller is implemented indicating the possibilities for simultaneous identification and control and demonstrating the ease of controller design in a hybrid dynamic framework. CD009903.PDF (From Author) TOP Open-Loop Feedback Control for Hybrid Manufacturing Systems Authors: Fabio Balduzzi, Giuseppe Menga, Volume: 1, Page 3144 Paper number 9202 Abstract: In this paper we discuss a novel formulation for the optimal control of discrete-event dynamic processes representing manufacturing systems characterized by unreliable machines, finite buffers and time-varying predictable demands. We approximatively represent the dynamics of the system with a hybrid model and derive an optimum control strategy for parts routing and machines scheduling embedded in a two-levels hierarchical control framework. At the higher level the discrete flows of parts are described by first-order fluid approximations and an optimum receding horizon control policy for the machines production rates is obtained by solving a sequence of linear programming problems. At the lower level a discrete-event real time dispatcher will be used to track the solution of the upper level controller as closely as possible. CD009202.PDF (From Author) TOP Optimal Control of Hybrid Dynamical Systems with the Maximum Principle: Application to a Non Linear Chemical Process Authors: Philippe Manon, Claire Valentin-Roubinet, Gérard Gilles, Volume: 1, Page 3151 Paper number 1873 Abstract: Chemical products manufacturing must respect sequences which lead them from an initial phase to a final one. In each phase the dynamic evolutions in the process are continuous. This paper presents a new method that minimizes the overall operating time to get the desired products, respecting the constraints on the continuous variables. It is based on the Pontryagin's maximum principle extended to discrete controlled hybrid dynamical systems. It is illustrated on a non linear chemical process. CD001873.PDF (From Author) TOP Hybrid System Modeling of Tandem Dynamically-Positioned Vessels Authors: James P. Millan, Siu D. O'Young, Volume: 1, Page 3157 Paper number 2138 Abstract: A Hybrid System model is used to aid the design and verification of a coordinated control system for two Dynamically Positioned marine vessels. A simple supervisory controller for the Emergency Shutdown and Disconnect operation is developed and verified using the automatic validation software HyTech. CD002138.PDF (From Author) TOP