For linear time-invariant descriptor models, this dissertation studies the extended strictly positive real (ESPR) design of continuous-time systems and the strictly positive real (SPR) analysis and design of discrete-time systems, respectively, all in the LMI framework. For a continuous-time system, by the LMI-based ESPR Lemma, a controller is designed such that the closed-loop system has its transfer matrix being ESPR while admissibility of the compensated descriptor system is guaranteed. Three forms of synthesis are considered, i.e. the static state feedback synthesis, estimated state feedback synthesis, and the dynamic output feedback synthesis. Moreover, design criterion of a dynamic output feedback controller in the state-space model is also addressed. For a discrete-time system, an LMI-based SPR characterization is developed. After giving the definition of SPR, the Cayley transformation is used to establish formulas bridging the admissible realizations for SPR and strictly bounded real (SBR) transfer matrices. Based on them, an LMI-based necessary and sufficient condition for a descriptor system to be, simultaneously, admissible and SPR is derived. When the descriptor variables are transformed into the SVD coordinate, it is shown that such a condition will have solution in the block diagonal form. Based on this result, the problem of static state feedback design to make transfer matrix of the closed-loop systems SPR is tackled. The problems of robust ESPR and SPR analysis and design when the considered systems have norm-bounded unstructured uncertainty are also addressed. Similarly, LMI-based conditions to guarantee robust admissibility with transfer matrices being ESPR for continuous systems or being SPR for discrete systems are proposed. Based on them, for continuous systems, a static state feedback controller and a dynamic output feedback controller are designed to make the entire family of uncertain closed-loop systems robustly admissible with transfer matrices being ESPR. While for discrete systems, only static state feedback controller is designed to achieve the robust admissibility and robust SPR property. Finally, based on ESPR lemma (or SPR lemma), we propose a new LMI-based robust admissibility analysis for a class of LTI continuous-time (or discrete-time) descriptor systems with convex polytopic uncertainties appearing on all the system matrices. Moreover, the development of state feedback controllers stemmed from these analysis results is also investigated. It is shown that the provided method has the capability to tackle the problem of computing a required feedback gain matrix for systems with either constant or polytopically dependent derivative (or advanced) state matrix in a unified way. Besides, the application of SPR property to absolute stability problem involving an LTI discrete-time descriptor system and a memoryless time-varying nonlinearity is also addressed. Since all conditions are expressed in LMIs, the obtained results are numerically tractable. It is illustrated by several numerical examples.

Negative-imaginary systems are broadly speaking stable and square (equal number of inputs and outputs) systems whose Nyquist plot lies underneath (never touches for strictly negative-imaginary systems) the real axis when the frequency varies in the open interval 0 to ∞. This class of systems appear quite often in engineering applications, for example, in lightly damped flexible structures with collocated position sensors and force actuators, multi-link robots, DC machines, active filters, etc. In this thesis, robustness analysis and controller synthesis methods for uncertain negative-imaginary systems are explored. Two new reformulation techniques are proposed that facilitate both the robustness analysis and controller synthesis for uncertain negative-imaginary systems. These reformulations are based on the transformation from negative-imaginary systems to a bounded-real framework via the positive-real property. In the presence of strictly negative-imaginary uncertainty, the robust stabilization problem is posed in an equivalent H∞ control framework; similarly, a negative-imaginary robust performance analysis problem is cast into an equivalent μ-framework. The latter framework also allows robust stability analysis when the perturbations are a mixture of bounded-real and negative-imaginary uncertainties. The proposed two techniques pave the way for existing H∞ control and μ theory to be applied to robustness analysis and controller synthesis for negative-imaginary systems. In addition, a static state-feedback synthesis method is proposed to achieve robust stability of a system in the presence of strictly negative-imaginary uncertainties. The method is developed in the LMI framework, which can be solved efficiently using convex optimization techniques. The controller synthesis method is based on the negative-imaginary stability theorem: a positive feedback interconnection of two negative-imaginary systems is internally stable if and only if the DC loop gain is contractive and at least one of the systems in the interconnected loop is strictly negative-imaginary. Also, in order to handle non-strict negative-imaginary uncertainties, a strongly strictly negative-imaginary lemma is proposed that helps to ensure the strictly negative-imaginary property of the nominal closed-loop system for robustness. To this end, a state-space characterization for strictly negative-imaginary property is given for non-minimal systems where the conditions are convex and hence numerically attractive. The results in this thesis hence facilitate both the robustness analysis and controller synthesis for negative-imaginary systems that quite often arise in practical scenarios. In addition, they can be applied to quantify the worse-case performance for this class of systems. Therefore, the proposed results have important implications in controller synthesis for uncertain negative-imaginary systems that achieve not only robust stabilization but also robust performance.

Orientador: Rodrigo Cardim / Resumo: Neste trabalho são apresentados uma série de resultados relacionados com as técnicas de controle para sistemas lineares chaveados incertos que asseguram índices de desempenho e custos garantidos no projeto. Inicialmente a técnica abordada para este estudo consiste na utilização das desigualdades de Lyapunov-Metzler e as propriedades dos sistemas Estritamente Reais Positivos (ERP). São abordados os sistemas Lyapunov-Metzler-ERP (LMERP), que permitem o desenvolvimento de um método de projeto de estabilização para sistemas que apresentam comutação e incertezas no modelo, usando para isto a realimentação do vetor de estado. A análise de estabilidade é descrita por meio de Desigualdades Matriciais Lineares (em inglês: Linear Matrix Inequalities), LMIs, que, quando factíveis, são facilmente resolvidas por meio de ferramentas disponíveis de programação convexa. Neste trabalho trata-se também da síntese via realimentação de estado com chaveamento no ganho que assegura o critério de desempenho Hoo. Para a validação das estratégias de controle mencionadas foram realizadas simulações e experimentos práticos em um sistema de suspensão ativa de bancada e em um sistema ball balancer, equipamentos fabricados pela Quanser. Os resultados comprovam a eficácia dos método propostos tanto nas simulações quanto nos testes realizados em bancada. / Mestre

Submitted by IVAN FRANCISCO YUPANQUI TELLO null (ivan.yupanqui.tello@hotmail.com) on 2017-06-28T18:37:59Z No. of bitstreams: 1 minha dissertacao.pdf: 4687608 bytes, checksum: 8a9fc873657ce7c21593f7e3653e4b0c (MD5) / Approved for entry into archive by Luiz Galeffi (luizgaleffi@gmail.com) on 2017-06-28T20:46:09Z (GMT) No. of bitstreams: 1 tello_ify_me_ilha.pdf: 4687608 bytes, checksum: 8a9fc873657ce7c21593f7e3653e4b0c (MD5) / Made available in DSpace on 2017-06-28T20:46:09Z (GMT). No. of bitstreams: 1 tello_ify_me_ilha.pdf: 4687608 bytes, checksum: 8a9fc873657ce7c21593f7e3653e4b0c (MD5) Previous issue date: 2017-06-20 / Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) / Neste trabalho são apresentados uma série de resultados relacionados com as técnicas de controle para sistemas lineares chaveados incertos que asseguram índices de desempenho e custos garantidos no projeto. Inicialmente a técnica abordada para este estudo consiste na utilização das desigualdades de Lyapunov-Metzler e as propriedades dos sistemas Estritamente Reais Positivos (ERP). São abordados os sistemas Lyapunov-Metzler-ERP (LMERP), que permitem o desenvolvimento de um método de projeto de estabilização para sistemas que apresentam comutação e incertezas no modelo, usando para isto a realimentação do vetor de estado. A análise de estabilidade é descrita por meio de Desigualdades Matriciais Lineares (em inglês: Linear Matrix Inequalities), LMIs, que, quando factíveis, são facilmente resolvidas por meio de ferramentas disponíveis de programação convexa. Neste trabalho trata-se também da síntese via realimentação de estado com chaveamento no ganho que assegura o critério de desempenho Hoo. Para a validação das estratégias de controle mencionadas foram realizadas simulações e experimentos práticos em um sistema de suspensão ativa de bancada e em um sistema ball balancer, equipamentos fabricados pela Quanser. Os resultados comprovam a eficácia dos método propostos tanto nas simulações quanto nos testes realizados em bancada. / This work presents a series of results related to the control techniques for uncertain switched linear systems that ensure performance indicators and guaranteed cost in the design. Initially the technique discussed in this study is the use of Lyapunov-Metzler Inequalities and properties of Strictly Positive Real Systems (SPR), so the Lyapunov-Metzler-SPR systems (LMSRP) are revised, which allow the development of a method of stabilization for systems that have switching and uncertainties in the model, using for this the state feedback. The stability analysis is described by Linear Matrix Inequalities, LMIs, that when are feasible, these are easily solved through tools available in convex programming literature. We also deal with the synthesis via state feedback with switching in the gain that ensures the performance criterion Hoo. In order to validate the proposed strategy simulations and experiments were performed on a bench active suspension system and a ball balancer system, equipments manufactured by Quanser. The results prove the effectiveness of the proposed method both in simulations and in bench tests.