检索结果-内蒙古大学图书馆

Successive Approximations of model reference adaptive control Design for Nonlinear Systems

IFAC-PapersOnLine 2015年第25期48卷 248-253页

作者： Fettah Kodalak Metin U. Salamci Mechanical Engineering Department Gazi University Ankara Turkey

In this study, model reference adaptive control algorithm with successive approximation method is suggested for nonlinear systems. The proposed method uses Linear Time Varying (LTV) approximations of the nonlinear model to design the controller. Provided that an adaptive control exists for the approximated LTV system, it is shown that the responses of the approximated LTV systems converge to the response of the nonlinear system. Then the model reference adaptive control for nonlinear system is designed by using successive LTV approximations. The proposed control design method is exemplified with a nonlinear dynamical system.

关键词： Nonlinear systems model reference adaptive control successive approximations technique linear time varying systems adaptive control

来源：评论

学校读者我要写书评

暂无评论

model reference adaptive control of glucose in type 1 diabetics: A simulation study 19

Model reference adaptive control of glucose in type 1 diabet...

引用

19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Tárník, Marián Miklovičová, Eva Murgaš, Ján Ottinger, Ivan Ludwig, Tomáš Institute of Robotics and Cybernetics Faculty of Electrical Engineering and Information Technology Slovak University of Technology in Bratislava Ilkovičova 3 Bratislava812 19 Slovakia

ISBN: (纸本)9783902823625

Paper presents the model reference adaptive control applied for the glucose concentration control in Type 1 diabetes mellitus (T1DM) subject. The adaptive controller structure allows to present the commanded insulin infusion by means of the basal infusion rate and the bolus insulin doses. T1DM simulation model is adjusted so that the simulated output corresponds to the particular data logged in a diabetic diary. These facts have allowed to compare the obtained results with the data logged in the diary. © IFAC.

关键词： model reference adaptive control

来源：评论

学校读者我要写书评

暂无评论

model reference adaptive control for aeroengine

Model reference adaptive control for aeroengine

引用

Chinese control and Decision Conference, CCDC

作者： Fu-Qiang Nian Hongjun Ma Guang-Hong Yang AVIC Shenyang Engine Design and Research Institute Shenyang 110015 Northeastern University Shenyang Liaoning CN

ISBN: (纸本)9781479970186

Aeroengine is a kind of multi-variable controlled object with strong nonlinearity and coupling, which is usually difficult to be described by precise mathematical models. Aiming at the condition that near the aeroengine's stable operating points, model parameters are unknown but unchanged with time, this thesis designs aeroengine model reference adaptive control system based on the Lyapunov stability theory, by choosing Lyapunov function, in the case of keeping the system stable, the adaptive parameter adjustment law is obtained. Last but not least, this thesis proposes improvement measures to deal with the shaking rotating speed problem of the aeroengine model reference adaptive control system as the use of the Lyapunov method. By simulation experiments, the results prove that the designed control system can realize adaptive state tracking control of aeroengine, and as well meet the performance index requirements for the aeroengine's control system.

关键词： Aeroengine model reference adaptive control adaptive parameter adjustment law Lyapunov fuction

来源：评论

学校读者我要写书评

暂无评论

model reference safety-critical adaptive control for a class of nonlinearly parameterized systems

引用

ASIAN JOURNAL OF control 2022年第5期24卷 2738-2750页

作者： Zhang, Zhongkui Long, Lijun Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang Peoples R China

Safety is the most fundamental problem of safety-critical systems. Safety control addresses the problem whether a given unsafe region of the state space can be avoided by a specific control-input. Moreover, linearly parameterized dynamical system is a general assumption in most safety-critical adaptive control literature;however, unknown parameters in real systems are usually nonlinear. The control problem of nonlinearly parameterized systems is really difficult without linear-in-the-parameters (LIP) assumptions, which tends to be complicated and computationally intensive. In this paper, a novel model reference safety-critical adaptive control (MRAC) approach is proposed for a class of nonlinearly parameterized systems. The proposed approach involves a novel controller architecture with a modified update law, which specifically filters out the unsafe behavior (the system is in a state which the system cannot operate normally, i.e., the given unsafe region), while preserving favorable tracking capability and robustness. The novelty of this paper is that the nonlinearly parameterized systems can be enforced safety, without LIP assumptions and complex calculations. Most importantly, this approach is effective for nonlinearly parameterized systems as well as linearly parameterized systems. Finally, three illustrative numerical examples are presented to demonstrate the effectiveness of the proposed design approach.

关键词： model reference adaptive control nonlinear-in-the-parameter systems safety control

来源：评论

学校读者我要写书评

暂无评论

reference model Design in Multiple Timescale adaptive control

Reference Model Design in Multiple Timescale Adaptive Contro...

引用

AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Eves, Kameron Valasek, John Electrical and Computer Engineering Engineering Department Utah Tech University Saint GeorgeUT84770 United States Vehicle Systems and Control Laboratory Aerospace Engineering Department Texas A and M University College StationTX77843-3141 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

The method [K]control of adaptive Multiple-timescale Systems (KAMS) has been used as a method of adaptive control for systems with states that evolve at vastly different rates and with uncertain parameters. Prior research on KAMS has shown a relationship between the asymptotic behavior of the reference models and the behavior of the full-order closed-loop system. Poor reference model design can cause steady-state error or instability even if that reference model is acceptable in a single timescale context, due to adverse feedback between the reference models and the fast-state manifold. This paper simplifies KAMS control design and provides insight into multiple timescale reference models by identifying design considerations for the fast and slow reference models. For fast reference models, it is shown that the stability proofs used in KAMS control design necessarily require the manifold to be an asymptotically stable equilibrium of the fast reference model, despite prior work that allowed other possibilities. In the case of a slow reference model that is not asymptotically stable to its reference signal, it is common for the inner connection conditions to be dependent on the reference signal. This can cause the interconnection conditions to be ill-formatted for the application of the stability proofs used in KAMS control design. This paper addresses that case and proposes the use of Raffoul’s condition as a method to prove stability in the sense of Lyapunov. A linear quadrotor attitude stabilization problem is used as a framework for the slow reference model analysis. Results presented in the paper show that 1) the asymptotic stability of the fast reference model is a necessary condition for the KAMS stability proofs used in prior work and 2) Raffoul’s condition is a sufficient condition for Lyapunov sense stability even when the inner connection conditions are ill-formatted for the KAMS stability proofs used in prior work. © 2025, American Institute of Aeronautics

关键词： model reference adaptive control

来源：评论

学校读者我要写书评

暂无评论

A New adaptive model reference control Algorithm for a Class of DC-AC Inverters 50

A New Adaptive Model Reference Control Algorithm for a Class...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Wang, Jing Department of Electrical Engineering Illinois State University NormalIL61761 United States

ISBN: (纸本)9781665464543

In this paper, we report a new adaptive model reference control algorithm for a class of DC-AC inverters. The proposed design is based on a simplified discrete-time domain model with completely unknown system and input parameters. The control variable is designed as the turn-on interval of switch combinations within one switching cycle. The asymptotical stability of the proposed control is rigorously proved by using the Lyapunov stability method. © 2024 IEEE.

关键词： model reference adaptive control

来源：评论

学校读者我要写书评

暂无评论

A Blending Based Multiple model reference adaptive Approach to Lateral Vehicle Motion control 63

A Blending Based Multiple Model Reference Adaptive Approach ...

引用

63rd IEEE Conference on Decision and control, CDC 2024

作者： Lovi, Alex Fidan, Baris Nielsen, Christopher University of Waterloo Department of Electrical and Computer Engineering WaterlooONN2L 3G1 Canada University of Waterloo Department of Mechanical and Mechatronics Engineering WaterlooONN2L 3G1 Canada

ISBN: (纸本)9798350316339

This paper studies reference tracking control of uncertain lateral vehicle dynamics, using a blending based multiple-model reference adaptive control (MMRAC) approach to overcome the parametric uncertainties and time-variations, including those in the tire force capacities and cornering stiffness. The lateral vehicle dynamics model under consideration is multiple-input, multiple-output, linear, and parameter varying. The design will assume a time-invariant system, such that all uncertain parameter variations lie inside of a known, compact, and convex set. The proposed MMRAC law guarantees perfect tracking of the desired state values generated by a linear reference model representing ideal driving conditions, and the system parameter estimates asymptotically converge to the unknown true values. We present simulations to show the stability and effectiveness of the proposed MMRAC scheme, even in the presence of slow time variations, as well as a performance comparison with existing lateral vehicle motion controllers. © 2024 IEEE.

关键词： model reference adaptive control

来源：评论

学校读者我要写书评

暂无评论

Lazily adapted constant kinky inference for nonparametric regression and model-reference adaptive control

arXiv

引用

arXiv 2016年

作者： Calliess, Jan-Peter Dept. of Engineering University of Cambridge United Kingdom

Techniques known as Nonlinear Set Membership prediction, Lipschitz Interpolation or Kinky Inference are approaches to machine learning that utilise presupposed Lipschitz properties to compute inferences over unobserved function values. Provided a bound on the true best Lipschitz constant of the target function is known a priori they offer convergence guarantees as well as bounds around the predictions. Considering a more general setting that builds on Hölder continuity relative to pseudo-metrics, we propose an online method for estimating the Hölder constant online from function value observations that possibly are corrupted by bounded observational errors. Utilising this to compute adaptive parameters within a kinky inference rule gives rise to a nonparametric machine learning method, for which we establish strong universal approximation guarantees. That is, we show that our prediction rule can learn any continuous function in the limit of increasingly dense data to within a worst-case error bound that depends on the level of observational uncertainty. We apply our method in the context of nonparametric model-reference adaptive control (MRAC). Across a range of simulated aircraft roll-dynamics and performance metrics our approach outperforms recently proposed alternatives that were based on Gaussian processes and RBF-neural networks. For discrete-time systems, we provide guarantees on the tracking success of our learning-based controllers both for the batch and the online learning setting. Copyright © 2016, The Authors. All rights reserved.

关键词： model reference adaptive control

来源：评论

学校读者我要写书评

暂无评论

Application of model reference adaptive control based on LSSVM inverse model in nonlinear system

Application of model reference adaptive control based on LSS...

引用

2015 3rd International Conference on Machinery,Materials and Information Technology Applications(ICMMITA 2015)

作者： Shengbo Zhang Qingling Dai Jiujiang University

In order to obtain better static and dynamic performance of the nonlinear system, in this paper the compound control system which the inner loop adopted direct inverse model control and the outer loop adopted model reference adaptive control was designed. Aiming at the difficulty to building inverse model in the inverse model control system in inner loop, the modeling method of inverse model based on the LSVM is proposed. As seen from the simulation results that the actual output signal is in good agreement with the desired output. It is show that the model reference adaptive control system based on LSVM inverse model has a good ability to control nonlinear object with high tracking precision, good dynamic performance and better control effect

关键词： inverse model control LS-SVM model reference adaptive control adaptive law

来源：评论

学校读者我要写书评

暂无评论

Tracking Error Convergence for Multi-Input Multi-Output model reference adaptive control with Known Nonminimum Phase Zeros

Tracking Error Convergence for Multi-Input Multi-Output Mode...

引用

IEEE Annual Conference on Decision and control

作者： Kelley E. Hashemi Maruthi R. Akella Chan-gi Pak Department of Aerospace Engineering The University of Texas at Austin Austin TX 78712 USA NASA Armstrong Flight Research Center Edwards CA 93523 USA

ISBN: (纸本)9781479978878

This paper presents a tracking error convergence proof for the multi-input multi-output direct model reference adaptive control problem. The proof is valid for square plants that are potentially nonminimum phase. This work is an extension of the surrogate tracking error adaptive control techniques previously developed, though the assumed plant structure is altered to accommodate a wider range of dynamics. Error convergence is demonstrated using a composite system construction with Lyapunov stability techniques. The performance of the proposed control design is demonstrated through simulation of a linear version of an aircraft wing's aeroelasitc pitch and plunge dynamics.

关键词： multi-input model reference adaptive control follow error adaptive control design control plant structures Lyapunov methods Converge Zero

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：