Frontiers in Adaptive Control Part 9

Tham khảo tài liệu 'frontiers in adaptive control part 9', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Advances in Parameter Estimation and Performance Improvement in Adaptive Control 191 where t R is the state and II G _R is the control input. The vector 0 G is the unknown parameter vector whose entries may represent physically meaningful unknown model parameters or could be associated with any finite set of universal basis functions. It is assumed that 0 is uniquely identifiable and lie within an initially known compact set - 1. The nx-dimensional vector f x u and the . . X III J-dimensional matrix . . II are bounded and continuous in their arguments. System 1 encompasses the special class of linear systems f x ti AqX Bou g x Ù Aia Biti A - x B2U . Anex Bneu where Ai and Bi for i 0 . . . Ill are known matrices possibly time varying. Assumption The following assumptions are made about system 1 . 1. The state of the system x f is assumed to be accessible for measurement. 2. There is a known bounded control law ÌI I . and a bounded parameter update law 9 that achieves a primary control objective. The control objective can be to robustly stabilize the plant and or to force the output to track a reference signal. Depending on the structure of the system 1 adaptive control design methods are available in the literature 12 16 . For any given bounded control and parameter update law the aim of this chapter is to provide the true estimates of the plant parameters in finite-time while preserving the properties of the controlled closed-loop system. 3. Finite-time Parameter Identification Let . denote the state predictor for 1 the dynamics of the state predictor is designed as I i . O I k .ij I wO. 2 where 0 is a parameter estimate generated via any update law kw 0 is a design matrix . if is the prediction error and w is the output of the filter .r. - . 3 Denoting the parameter estimation error as 9 9 9 it follows from 1 and 2 that i .r. u - k . - 11 0. 4 The use of the filter matrix w in the above development provides direct information about parameter .

Không thể tạo bản xem trước, hãy bấm tải xuống
TÀI LIỆU LIÊN QUAN
TỪ KHÓA LIÊN QUAN
TÀI LIỆU MỚI ĐĂNG
65    17    1    01-07-2022
10    8    1    01-07-2022
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.