Luận án Bài toán điều khiển đối với một số lớp hệ tuyến tính dương
Typically, physical components of a control system (illustrated as Fig. 1) are
composed of input, output and state variables. Inputs are those signals which can
be intentionally incorporated (controller, switching signals ect) or suddenly integrated
(for example, exogenous disturbances) into a system to activate, manipulate or degrade
system performance, whereas outputs of a system belong to a channel which will be
measured, observed or regulated (measurement outputs, observers or controlled outputs). Output states are controlled and/or affected by the effect of inputs. A state is
a set of mathematical functions or physical variables, which can be used to describe
system behavior and performance if the inputs are known.
In many practical models, relevant states such as liquid levels in controlling tanks,
concentrations of chemicals, the population size of species or the number of molecules
are always nonnegative. Such models are described in the state-space representation by
dynamical systems, whose states and outputs driven by nonnegative inputs (including
initial states) are nonnegative all the time. This particular category of systems are
referred to as positive systems [32] or nonnegative systems [37] (throughout this thesis
we only mention as positive systems). A typical example of positive systems is compartmental networks [79].
Tóm tắt nội dung tài liệu: Luận án Bài toán điều khiển đối với một số lớp hệ tuyến tính dương
MINISTRY OF EDUCATION AND TRAINING HANOI NATIONAL UNIVERSITY OF EDUCATION ——————–o0o——————— MAI THI HONG SOME CONTROL PROBLEMS FOR POSITIVE LINEAR SYSTEMS DISSERTATION OF DOCTOR OF PHILOSOPHY IN MATHEMATICS HA NOI-2021 MINISTRY OF EDUCATION AND TRAINING HANOI NATIONAL UNIVERSITY OF EDUCATION ——————–o0o——————— MAI THI HONG SOME CONTROL PROBLEMS FOR POSITIVE LINEAR SYSTEMS Speciality: Differential and Integral Equations Code: 9460103 A dissertation submitted to Hanoi National University of Education for fulfilled requirements of the degree of Doctor of Philosophy in Mathematics Under the guidance of Associate Professor LE Van Hien HA NOI-2021 DECLARATION I am the creator of this dissertation, which has been conducted at the Faculty of Mathematics and Informatics, Hanoi National University of Education, under the guidance and direction of Associate Professor Le Van Hien. I hereby affirm that the results presented in this dissertation are truly provided and have not been included in any other dissertations or theses submitted to any other universities or institutions for a degree or diploma. “I certify that I am the PhD student named below and that the information provided is correct” Full name: Mai Thi Hong Signed: Date: 1 ACKNOWLEDGMENT First and foremost, I would like to express my sincere thanks to my supervisor, Associate Professor Le Van Hien, for his enlightening guidance, insightful ideas, and endless support during my candidacy at Hanoi National University of Education. His rigorous research ethics, diligent work attitude, and wholehearted dedication to his students have been an inspiration to me and will influence me forever. I am grateful to Associcate Professor Tran Dinh Ke and other members of the weekly seminar at the Division of Mathematical Analysis, Faculty of Mathematics and Informatics, Hanoi National University of Education, for their discussions and valuable comments on my research results. I am also grateful to my colleagues at the Division of Mathematics, Faculty of Information Technology, National University of Civil Engineering, for their help and support during the time of my PhD research and study. I am forever grateful to my parents for endless love and unconditional support they have been giving me. Last but not least, I am indebted to my beloved husband, Mr. Trung Kien, my beautiful daughters, Hoang Mai, Gia Linh, and lovely son, Minh Giang, who always stay beside me. None of this would have been possible without their continuous and unconditional love, kindness and comfort through my journey. The author 2 TABLE OF CONTENTS Page Declaration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Acknowledgment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 List of symbols and acronyms . . . . . . . . . . . . . . . . . . . . . . . . . . 6 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 A. Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 B. Literature review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 B1. Static output-feedback control of positive linear systems . . . . . . 13 B2. L1-gain control of positive linear systems with multiple delays . . 14 B3. Peak-to-peak gain control of discrete-time positive linear systems . 15 B4. Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 C. Research topics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 C1. Static output-feedback control of positive linear systems with time- varying delay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 C2. L1-gain control of positive linear systems with multiple delays . . 19 C3. Peak-to-peak gain control of discrete-time positive linear systems with diverse interval delays . . . . . . . . . . . . . . . . . . . . . . 20 D. Outline of main contributions . . . . . . . . . . . . . . . . . . . . . . . . 21 E. Thesis structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 1. PRELIMINARIES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.1. Nonnegative and Metzler matrices . . . . . . . . . . . . . . . . . . . . . 24 1.2. Lyapunov stability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1.2.1. Stability concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1.2.2. Stability and stabilization of LTI systems . . . . . . . . . . . . . . 28 3 1.3. Positive LTI systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 1.3.1. Stability analysis and controller design . . . . . . . . . . . . . . . 31 1.3.2. L1-induced performance . . . . . . . . . . . . . . . . . . . . . . . 32 1.3.3. ℓ∞-induced performance . . . . . . . . . . . . . . . . . . . . . . . 33 1.4. KKM Lemma . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 2. STATIC OUTPUT-FEEDBACK CONTROL OF POSITIVE LINEAR SYS- TEMS WITH TIME-VARYING DELAY . . . . . . . . . . . . . . . . . . . . 35 2.1. Problem formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 2.2. Stability analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 2.3. Controller synthesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 2.3.1. Single-input single-output systems . . . . . . . . . . . . . . . . . . 43 2.3.2. Single-input multiple-output systems . . . . . . . . . . . . . . . . 44 2.3.3. Multiple-input single-output systems . . . . . . . . . . . . . . . . 47 2.3.4. Multiple-input multiple-output systems . . . . . . . . . . . . . . . 48 2.4. Numerical examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 2.5. Conclusion of Chapter 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 3. ON L1-GAIN CONTROL OF POSITIVE LINEAR SYSTEMS WITH MUL- TIPLE DELAYS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 3.1. Problem statement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 3.2. Stability analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 3.3. L1-induced performance . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 3.4. L1-gain control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 3.5. Illustrative examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 3.6. Concluding remarks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 4. PEAK-TO-PEAK GAIN CONTROL OF DISCRETE-TIME POSITIVE LIN- EAR SYSTEMS WITH DIVERSE INTERVAL DELAYS . . . . . . . . . . . 76 4.1. Problem formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 4 4.2. Stability analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 4.3. Peak-to-peak gain characterization . . . . . . . . . . . . . . . . . . . . . 80 4.4. Static output-feedback peak-to-peak gain control . . . . . . . . . . . . . 87 4.4.1. Matrix transformation approach . . . . . . . . . . . . . . . . . . . 89 4.4.2. Vertex optimization approach . . . . . . . . . . . . . . . . . . . . 89 4.5. Illustrative examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 4.6. Conclusion of Chapter 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 Concluding remarks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96 List of publications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 5 LIST OF SYMBOLS AND ACRONYMS Rn the n-dimensional Euclidean space ∥x∥∞ max-norm maxi=1,2,...,n |xi| of a vector x = (xi) ∈ Rn ∥x∥1 1-norm ∑n i=1 |xi| of a vector x = (xi) ∈ R n 1n the column vector (1, 1, . . . , 1)⊤ ∈ Rn x ≼ y component-wise comparison between vectors x and y. More precisely, for x = (xi) ∈ Rn and y = (yi) ∈ Rn, x ≼ y if xi ≤ yi for i = 1, 2, . . . , n x ≺ y if xi < yi for i = 1, 2, . . . , n x ≽ y if xi ≥ yi for i = 1, 2, . . . , n (or y ≼ x) x ≻ y if xi > yi for i = 1, 2, . . . , n (or y ≺ x) Rn+ positive orthant of R n, i.e., the set {x ∈ Rn : x ≽ 0} |x| = (|xi|) ∈ Rn+ the absolute of a vector x = (xi) ∈ R n Rn×m the set of n×m real matrices |A| = (|aij |) ∈ R m×n + the absolute of a matrix A = (aij) ∈ R m×n diag{A,B} the diagonal matrix formulated by stacking A and B A⊤ the transpose matrix of a matrix A A−1 the inverse matrix of a matrix A A ≽ 0 nonnegative matrix A = (aij) ∈ Rm×n (aij ≥ 0 for all i, j) A ≻ 0 positive matrix A (i.e. aij > 0 for all i, j) A > 0 positive-definite matrix A (i.e. x⊤Ax > 0, ∀x ∈ Rn, x ≠ 0) S+n the set of symmetric positive-definite matrices in R n×n In identity matrix in Rn×n Mn the set of Metzler matrices in Rn×n ∥A∥∞ the max-norm of a matrix A, i.e., for A = (aij) ∈ Rm×n, ∥A∥∞ = ∥|A|1n∥∞ = max1≤i≤m ∑n j=1 |aij | ∥A∥1 the 1-norm of a matrix A, i.e., for A = (aij) ∈ Rm×n, ∥A∥1 = max1≤j≤n ∑m i=1 |aij | rank(A) rank of a matrix A 6 σ(A) spectrum (the set of eigenvalues) of a matrix A ∈ Rn×n ρ(A) max{|λ| : λ ∈ σ(A)}, spectral radius of A µ(A) max{Reλ : λ ∈ σ(A)}, spectral abscissa of A N0 the set of natural numbers N the set of positive integers Z the set of integers Z[a, b] the set {p ∈ Z : a ≤ p ≤ b} ∥f(t)∥1 ∑n i=1 |fi(t)|, 1-norm of a vector f(t) ∈ R n ∥f∥L1 ∫∞ 0 ∥f(t)∥1dt, L1-norm of a function f : R+ → R n ∥x(k)∥∞ maxi=1,2,...,n |xi(k)|, max-norm of a vector x(k) ∈ Rn ∥f∥ℓ∞ supk∈Z+ ∥f(k)∥∞, ℓ∞-norm of a function f : Z+ → R n L1(R+,Rn) the set {f : R+ → Rn : ∥f∥L1 <∞} ℓ∞(Rn) the set {f : Z+ → Rn : ∥f∥ℓ∞ <∞} ∥Σ∥(L1,L1) L1-induced norm of the operator Σ ∥Ψ∥(ℓ∞,ℓ∞) ℓ∞-induced norm of the operator Ψ C = C([a, b],Rn) the set of Rn-valued continuous functions defined on [a, b] ∥φ∥C uniform norm supa≤t≤b ∥φ(t)∥ GAS global asymptotic stability GES global exponential stability LMIs linear matrix inequalities BMIs bilinear matrix inequalities LTI linear time-invariant LP linear programming LKF Lyapunov-Krasovskii functional SFC state-feedback controller SOFC static output-feedback controller SISO single-input single-output SIMO single-input multiple-output MISO multiple-input single-output MIMO multiple-input multiple-output ✷ completeness of a proof. 7 INTRODUCTION A. 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