Stabilization of Linear Systems with Structured Perturbations

The problem of stabilization of linear systems with bounded structured uncertainties are considered in this paper. Two notions of stability, denoted quadratic stability (Q-stability) and μ-stability, are considered, and corresponding notions of stabilizability and detectability are defined. In both cases, the output feedback stabilization problem is reduced via a separation argument to two simpler problems: full information (FI) and full control (FC). The set of all stabilizing controllers can be parametrized as a linear fractional transformation (LFT) on a free stable parameter. For Q-stability, stabilizability and detectability can in turn be characterized by Linear Matrix Inequalities (LMIs), and the FI and FC Q-stabilization problems can be solved using the corresponding LMIs. In the standard one-dimensional case the results in this paper reduce to well-known results on controller parametrization using state-space methods, although the development here relies more heavily on elegant LFT machinery and avoids the need for coprime factorizations

Clinical analysis of acute anterior uveitis in 215 cases

AIM: To analyze the etiology, therapeutic effects,risk of relapse and prognosis of acute anterior uveitis.<p>MEHTODS: Medical history of 215 patients with acute anterior uveitis who underwent treatment in Department of Ophthalmology, People's Hospital of Fenghua was collected, together with results of clinical examinations and auxiliary examinations. The data were studied in terms of therapeutic effects, etiological factors, prognosis and relapse rate. <p>RESULTS: In 85 cases(39.5%), the cause was identified, and among the among the most frequent causes were traumatic or surgical injury, viral infection and glaucomatocyclitic crisis. After treatment, the best corrected visual acuity was no less than 1.0 in 153 cases(71.2%), between 0.5 and 1.0 in 55 cases(25.6%), between 0.3 and 0.5 in 4 cases(1.9%), between 0.05 and 0.3 in 2 cases(0.9%), and less than 0.05 in 1 case(0.5%). During the follow-up of more than 6 months, relapse occurred in 4 cases(1.9%)during 4-6 months, in 7 cases(3.2%)during 7-12 months, in 10 cases(4.7%)during 13-24 months, and in 3 cases(1.4%)during 25-60 months. <p>CONCLUSION: The etiology of acute anterior uveitis is complicated and mostly idiopathic. Vision prognosis is good after treatment, but therelapse rate is high and can cause visual impairment, so better understanding should be gained of its relapse and its prevention and early treatment should be emphasized

Curriculum Reform and Practice Exploration of "Foundation of Innovation and Entrepreneurship" for College Normal Majors

According to the statistics of the Ministry of Education, the scale of ordinary college graduates in 2023 is expected to reach 11.58 million, an increase of 820,000 compared with 2022 (General Office of the State Council of China, 2015). This figure once again hit a record high in employment, and the employment situation is becoming more and more severe. All walks of life in society have higher and higher expectations for the comprehensive ability of college students, and college students are facing greater pressure and challenges in the process of job-hunting. This paper will discuss the curriculum design, teaching mode, education and teaching reform strategy, experimental research, conclusions and prospects, so as to provide some useful references for the education and teaching reform of innovation and entrepreneurship management courses for college students, and improve the quality of graduate training and employment competitiveness

Application and research of hybrid teaching mode based on flipped classroom in circuit teaching

with the continuous development of Internet technology, the concept of online and offl ine Hybrid Teaching Based on the advantages of fl ipped classroom has been widely concerned by the education sector, and more and more colleges and universities have begun to pay attention to the integration of Internet elements into professional teaching. Taking the circuit course as an example, there are many problems in the traditional teaching mode of the circuit course, such as the single teaching mode and not taking students as the main body. Teachers should be aware of the existence of these problems, excavate the connotation of fl ipped classroom, and improve it by using hybrid teaching methods, so as to fundamentally improve the teaching quality and promote the improvement of students’ professional ability. In specifi c teaching, teachers should combine online learning, offl ine learning and face-to-face teaching in the classroom, break through the shackles of traditional teaching with brand-new teaching concepts, give full play to the guiding role of teachers in the teaching process, show the value of professional education, highlight the dominant position of students in teaching, and conduct mixed teaching in a diversifi ed and multi angle fl ipped classroom,Promote the good development of students

A Cluster-Aggregate-Pool (CAP) Ensemble Algorithm for Improved Forecast Performance of influenza-like illness

Seasonal influenza causes on average 425,000 hospitalizations and 32,000 deaths per year in the United States. Forecasts of influenza-like illness (ILI) -- a surrogate for the proportion of patients infected with influenza -- support public health decision making. The goal of an ensemble forecast of ILI is to increase accuracy and calibration compared to individual forecasts and to provide a single, cohesive prediction of future influenza. However, an ensemble may be composed of models that produce similar forecasts, causing issues with ensemble forecast performance and non-identifiability. To improve upon the above issues we propose a novel Cluster-Aggregate-Pool or `CAP' ensemble algorithm that first clusters together individual forecasts, aggregates individual models that belong to the same cluster into a single forecast (called a cluster forecast), and then pools together cluster forecasts via a linear pool. When compared to a non-CAP approach, we find that a CAP ensemble improves calibration by approximately 10% while maintaining similar accuracy to non-CAP alternatives. In addition, our CAP algorithm (i) generalizes past ensemble work associated with influenza forecasting and introduces a framework for future ensemble work, (ii) automatically accounts for missing forecasts from individual models, (iii) allows public health officials to participate in the ensemble by assigning individual models to clusters, and (iv) provide an additional signal about when peak influenza may be near