On the role of subspace zeros in retrospective cost adaptive control of non-square plants
نویسندگان
چکیده
Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content.
منابع مشابه
An economic-statistical model for production and maintenance planning under adaptive non-central chi-square control chart
Most of the inventory control models assume that quality defect never happens, which means production process is perfect. However, in real manufacturing processes, the production process starts its operation in the in-control state; but after a period of time, shifts to the out-of-control state because of occurrence of some disturbances. In this paper, in order to approach the model to real man...
متن کاملRetrospective Cost Adaptive Control with Error-Dependent Regularization for MIMO Systems with Uncertain Nonminimum-Phase Transmission Zeros
In this paper we focus on retrospective cost adaptive control (RCAC), which is applicable to stabilization, command following, disturbance rejection, and model reference control problems for SISO and MIMO plants. RCAC uses limited modeling information, specifically, Markov parameters of the transfer function from the control input to the performance variable. Typically, a small number of Markov...
متن کاملAdaptive Control Based on Retrospective Cost Optimization
U NLIKE robust control, which chooses control gains based on a prior, fixed level of modeling uncertainty, adaptive control algorithms tune the feedback gains in response to the true plant and exogenous signals: that is, commands and disturbances. Generally speaking, adaptive controllers require less prior modeling information than robust controllers and thus can be viewed as highly parameter-r...
متن کاملRetrospective Cost Model Reference Adaptive Control for Nonminimum-Phase Systems
T HE objective of model reference adaptive control (MRAC) is to control an uncertain system so that it behaves like a given referencemodel in response to specified referencemodel commands. MRAC has been studied extensively for both continuous-time [1–8] and discrete-time systems [7–12]. In addition, MRAC has been extended to various classes of nonlinear systems [13]. However, the direct adaptiv...
متن کاملSquaring-Up Method for Relative Degree Two Plants
Non-square multi-input-multi-output (MIMO) plants are becoming increasingly common, as the addition of multiple sensors is becoming prevalent. However, square systems are needed sometimes as an leverage when it comes to design and analysis, as they possess desirable properties such as strict positive realness. This paper presents a squaring up method that adds artificial inputs to a class of MI...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Int. J. Control
دوره 88 شماره
صفحات -
تاریخ انتشار 2015