In this note we consider the problem of H ∞ observer design for a class of uncertain linear discrete-time systems with delayed state and parameter uncertainties. The goal of this problem is to design a linear state o...
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In this note we consider the problem of H ∞ observer design for a class of uncertain linear discrete-time systems with delayed state and parameter uncertainties. The goal of this problem is to design a linear state observer such that, for the positive integer state time-delay and all admissible norm-bounded parameter uncertainties, the observation process remains robustly stable and the transfer function from exogenous disturbances to error state outputs meets the prespecified H ∞ norm upper bound constraint. The observer structure does not depend on the parameter uncertainties. A simple, effective algebraic methodology is developed to derive the conditions for the existence of the desired robust H ∞ observers, and the analytical expression of these observers is then characterized in terms of the matrix Riccati-like equations/inequalities. We provide a numerical example to demonstrate the validity and the applicability of the proposed approach.
This note deals with the problem of H ∞ observer design for a class of uncertain linear systems with delayed state and parameter uncertainties. This problem aims at designing the linear state observers such that, for...
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This note deals with the problem of H ∞ observer design for a class of uncertain linear systems with delayed state and parameter uncertainties. This problem aims at designing the linear state observers such that, for all admissible parameter uncertainties, the observation process remains robustly stable and the transfer function from exogenous disturbances to error state outputs meets the prespecified H ∞ on norm upper bound constraint, independently of the time-delay. The time-delay is assumed to be small but unknown, and the parameter uncertainties are allowed to be norm-bounded and appear in all the matrices of the state-space model. An effective matrix inequality methodology is developed to solve the proposed problem. We derive the conditions for the existence of the desired robust H ∞ observers, and then characterize the analytical expression of these observers. A numerical example demonstrates the validity and applicability of the present approach.
The problem of tuning individual loops in a multivari-able controller is investigated. It is shown how the performance of a specific loop relates to a row in the controller matrix. Several interpretations of this rela...
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Adaptivity for user "personalised" support is viewed as complementary to systems for cognitive support and is related to the following aspects of user modelling: individual user profile, user style/state dia...
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Adaptivity for user "personalised" support is viewed as complementary to systems for cognitive support and is related to the following aspects of user modelling: individual user profile, user style/state diagnosis, context of work and mental workload prediction. The paper reports the results of an empirical study revealing a particular kind of contextual influences on user behaviour, namely, the freedom to choose the set of operations to be performed from a larger set of tasks, valid for all users at the basic skill level of performance. Stability of patterns was found on the level of minimal reaction times (RTs), but not on the level of mean RTs. Neural networks successfully generalised the minimal RT profiles across contexts.
The problem of tuning individual loops in a multivariable controller is investigated. It is shown how the performance of a specific loop relates to a row in the controller matrix. Several interpretations of this relat...
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The problem of tuning individual loops in a multivariable controller is investigated. It is shown how the performance of a specific loop relates to a row in the controller matrix. Several interpretations of this relation are given. An algorithm is also presented that estimates the model required for the tuning via a relay feedback experiment. The algorithm does not need any prior information about the system or the controller. The results are illustrated by an example.
Large dynamic plastic strain processes induce increase in temperature in materials. Strain rates are estimated by dynamic uniaxial tensile tests on mild steel using the heat equation and an infrared video camera which...
This article presents a genetic algorithm approach to multi-criteria motion planning of mobile manipulator systems. For mobile robot path planning, traveling distance and path safety are considered. The workspace of a...
This article presents a genetic algorithm approach to multi-criteria motion planning of mobile manipulator systems. For mobile robot path planning, traveling distance and path safety are considered. The workspace of a mobile robot is represented as a grid by cell decomposition, and a wave front expansion algorithm is used to build the numerical potential fields for both the goal and the obstacles. For multi-criteria position and configuration optimization of a mobile manipulator, least torque norm, manipulability, torque distribution and obstacle avoidance are considered. The emphasis of the study is placed on using genetic algorithms to search for global optimal solutions and solve the minimax problem for manipulator torque distribution. Various simulation results from two examples show that the proposed genetic algorithm approach performs better than the conventional methods.
An approach for the modelling and motion planning of a mobile manipulator system with a non-holonomic constraint is presented in this paper. The Newton-Euler equations are used to obtain the complete dynamics of the s...
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An approach for the modelling and motion planning of a mobile manipulator system with a non-holonomic constraint is presented in this paper. The Newton-Euler equations are used to obtain the complete dynamics of the system. Given the trajectory of the end-effector of the manipulator, near-optimal trajectories for the mobile platform and manipulator joints are obtained by using an efficient genetic algorithm with torque and manipulability optimisation and obstacle avoidance. Various simulations of a platform with a 3-link onboard manipulator are presented to show the effectiveness of the presented method.
作者:
Mahfouf, M.Linkens, D.A.Dynamics and Control Group
Manchester School of Engineering University of Manchester Oxford Road ManchesterM13 9PT United Kingdom Intelligent Systems Group
Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street SheffieldSI 3JD United Kingdom
The popular Generalised Predictive control (GPC) algorithm is used to derive a discrete-time nonlinear predictive controller for muscle relaxant anaesthesia, in a Wiener structure form, and which exhibits strong nonli...
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ISBN:
(纸本)9783952426906
The popular Generalised Predictive control (GPC) algorithm is used to derive a discrete-time nonlinear predictive controller for muscle relaxant anaesthesia, in a Wiener structure form, and which exhibits strong nonlinearities as well as varying dead-time and dynamics due to patient-topatient variability. The proposed controller minimises the GPC quadratic performance index taking into account the nonlinear output predictions obtained using linear predictions of the linear part inferred using the inverse of the nonlinear function. The minimisation problem is solved using numerical search methods such as Genetic Algorithms. Moreover, variations in the model dynamics are estimated using a Recursive Least-Squares estimation algorithm (RLS). The proposed scheme is shown to be superior to the linear GPC algorithm even in the case of a significant mismatch between the assumed model nonlinearity and that in the actual process.
This paper presents a detailed analysis of a motion planner based on genetic algorithms for collision free motion planning of robotic manipulators through simulation. The problem is formulated for a 2-DOF planar manip...
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This paper presents a detailed analysis of a motion planner based on genetic algorithms for collision free motion planning of robotic manipulators through simulation. The problem is formulated for a 2-DOF planar manipulator moving in the presence of a static circular obstacle in its operational space. The algorithm is then extended to 3-DOF planar manipulator moving among multiple static obstacles.
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