CDC2000 Nonlinear Optimisation

Nonlinear Optimisation
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	Solutions of Nonlinear Optimal and Robust Control Problems via a Mixed Collocation/DAE's Based Algorithm Authors: Mazen Alamir, Volume: 1, Page 742 Paper number 1119 Abstract: A new algorithm for computing the solutions of nonlinear optimal and robust H_(infinity) control problems is proposed. The algorithm is based on the use of the collocation method to transform the PDE's into ODE's. The later can be viewed as a perturbed version of some set of ODE's that has an invariant sub-manifold and can Therefore be solved using the post stabilization technique. Some convergence results are given and several examples are presented. CD001119.PDF (From Author) TOP Finite-Horizon Optimal Control and Stabilization of Time-Scalable Systems Authors: J. Alexander Fax, Richard M. Murray, Volume: 1, Page 748 Paper number 1774 Abstract: In this paper, we consider the optimal control of time-scalable systems. The time-scaling property is shown to convert the PDE associated with the Hamilton-Jacobi-Bellman (HJB) equation to a purely spatial PDE. Solution of this PDE yields the value function at a fixed time, and that solution can be scaled to find the value function at any point in time. Furthermore, in certain cases the unscaled control law stabilizes the system, and the unscaled value function acts as a Lyapunov function for that system. The PDE is solved for the well-known example of the nonholonomic integrator. CD001774.PDF (From Author) TOP Optimal Control Of Nonlinear Differential Algebraic Equation Systems Authors: Peter D. Roberts, Victor M. Becerra, Volume: 1, Page 754 Paper number 1262 Abstract: A novel iterative procedure is described for solving non-linear optimal control problems subject to differential algebraic equations. The procedure iterates on an integrated modified linear quadratic model based problem with parameter updating in such a manner that the correct solution of the original non-linear problem is achieved. The resulting algorithm has a particular advantage in that the solution is achieved without the need to solve the differential algebraic equations . Convergence aspects are discussed and a simulation example is described which illustrates the performance of the technique. CD001262.PDF (From Author) TOP Efficient Dynamic Optimization for Nonlinear Model Predictive Control - Application to a High-Density Poly-Ethylene Grade Change Problem Authors: Rob L. Tousain, Okko H. Bosgra, Volume: 1, Page 760 Paper number 9602 Abstract: Nonlinear Model Predictive Control (NMPC) is believed to play an important role in improving the quality and flexibility of the production of many chemical plants. More widespread application can be expected when systematic solutions are found for modeling large-scale nonlinear processes and for efficient solution of the dynamic optimization problems NMPC entails. The control parametrization approach to dynamic optimization solves the dynamic optimization problem as a Nonlinear Program using e.g. the Sequential Quadratic Program (SQP) in the outer loop optimization problem. In the SQP approach, a reduced space Quadratic program is set up based on a quasi-Newton method estimate of the Hessian. We propose, based on an investigation of the structure of the Hessian of the NMPC problem, a different Hessian update procedure: part of the Hessian is calculated explicitly and only the part that relates to the second derivatives of the dynamics is estimated using a Hessian update. The proposed method shows a large improvement in computational efficiency for a semi-large-scale Poly-Ethylene reactor NMPC problem with 27 states and 6 inputs with 15 parameters each. CD009602.PDF (From Author) TOP Continuation/GMRES Method for Fast Algorithm of Nonlinear Receding Horizon Control Authors: Toshiyuki Ohtsuka, Volume: 1, Page 766 Paper number 1567 Abstract: This paper proposes a fast algorithm for nonlinear receding horizon control. The control input is updated by a differential equation to trace the solution of an associated two-point boundary-value problem. A linear equation involved in the differential equation is solved by the generalized minimum residual (GMRES) method, one of the Krylov subspace methods, with Jacobians approximated by forward differences. The error in the entire algorithm is analyzed and is shown to be bounded under mild conditions. The proposed algorithm is applied to a two-link arm whose dynamics is highly nonlinear. CD001567.PDF (From Author) TOP On Trajectory Optimization for Polynomial Systems via Series Expansions Authors: Francesco Bullo, W. Todd Cerven, Volume: 1, Page 772 Paper number 1404 Abstract: In this paper, we present algorithms for the design of feasible and optimal trajectories of nonlinear control systems. We focus on stable polynomial control systems linear in the controls. We prove existence of local solutions near the minimum energy control for the linearized system and we investigate provably convergent iterative schemes. Finally, we formulate the trajectory optimization problem as a low dimensional nonlinear program. CD001404.PDF (From Author) TOP