In this paper a sliding-mode observer for a class of non-linear systems is proposed. The observer is based on the equivalent control method. The mathematical tools required to design such an observer are also presente...
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In this paper a sliding-mode observer for a class of non-linear systems is proposed. The observer is based on the equivalent control method. The mathematical tools required to design such an observer are also presented. The proposed scheme can ensure finite time convergence of the observer and the reduction of chattering effect due to relay-type correction terms. Several examples are presented to illustrate the proposed method.
Electrical Impedance Tomography (EIT) has been the subject of intensive research since its development in the early 1980s by Barber and Brown at the department of Medical Physics and Clinical engineering, Hallamshire ...
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(纸本)9789898425355
Electrical Impedance Tomography (EIT) has been the subject of intensive research since its development in the early 1980s by Barber and Brown at the department of Medical Physics and Clinical engineering, Hallamshire Hospital in Sheffield (UK). In particular, pulmonary measurement has been the focus of most EIT related research. One of the relatively recent advances in EIT is the development of an absolute EIT system (aEIT) which can estimate absolute values of lung resistivity and lung volumes. However, there is still active research in the area of validating and improving the accuracy and consistency of the aEIT estimation of lung volumes towards characterising the system as suitable for clinical use. In this paper we present a new approach based on Computational Intelligence (CI) modelling to model the 'Resistivity - Lung Volume' relationship that will allow more accurate lung volume predictions. Eight (8) healthy volunteers were measured simultaneously by the Sheffield aEIT system and a Spirometer and the recorded results were used to develop subject-specific Neural-Fuzzy models able to predict absolute values of lung volume based only on absolute lung resistivity data. The developed models show improved accuracy in the prediction of lung volumes, as compared with the original Sheffield aEIT system. However the interindividual differences observed in the subject-specific modelling behaviour of the 'Resistivity-Lung Volume' curves suggest that a model extension is needed, whereby the modelling structure auto-calibrates to account for subject (or patient-specific) inter-parameter variability.
A simple tuning method for second-order active disturbance rejection control (ADRC) that achieves high performance and good robustness for a wide range of processes is presented. ADRC is a novel control strategy whose...
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A simple tuning method for second-order active disturbance rejection control (ADRC) that achieves high performance and good robustness for a wide range of processes is presented. ADRC is a novel control strategy whose exciting performance has been shown by literatures. The proposed method makes ADRC become easy to tune and more practical. Once the desired settling time is given, only one parameter need to be tuned during the design procedure, which can be found by monotonously increasing. Examples are given to show the effectiveness and flexibility of the method. Simulations demonstrate that second-order ADRC can handles processes with various characteristics, including low- and high-order, large dead time, non-minimum phase, unstable and distributed parameter systems.
This paper deals with the design of a high order sliding mode observer for a class of nonlinear systems that can be described in the so called triangular input observer form. The mathematical tools required to make th...
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This paper deals with the design of a high order sliding mode observer for a class of nonlinear systems that can be described in the so called triangular input observer form. The mathematical tools required to make the system transformation to such form are also presented. At last, we show the performance of the observers with several simulation examples, including the application of a CSTR process model.
In this paper, the hardware component of a new technology used to communicate with people with major neuro-locomotor disability using ocular electromyogram is presented. The signals produced by the ocular muscle, prov...
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In this paper, the hardware component of a new technology used to communicate with people with major neuro-locomotor disability using ocular electromyogram is presented. The signals produced by the ocular muscle, provided by five electromyogram sensors are amplified used a new instrumentation amplifier and then processed by the software component of the proposed communication technology. The information obtained after these signals are processed is used in order to move a pointer on a display in concordance to the patient gaze direction. In this way, the needs of the patient are sent to the caretaker by detection of voluntary blinking.
Along with technology progress and fast paced development in China railway, the issue of safety is increasingly significant for all the involved technical equipments, especially for train control system. However, in v...
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Along with technology progress and fast paced development in China railway, the issue of safety is increasingly significant for all the involved technical equipments, especially for train control system. However, in view of the typical features of software-intensive, hardware-distributed, and communication-dependent derived from Communication based Train control System (CBTC) 1 , traditional safety analysis approaches gradually betray the deficiencies of loose consistency of safety and design processes and duplicate work on safety assessment. In this paper, two of prominent proposed model based safety analysis (MBSA) approaches: failure logic modeling and failure effect modeling are introduced to deal with these two industrially encountered challenges, and also a further feasibility study on system-component extraction and model boundary restriction is investigated via a lightweight CBTC case, to show key technical issues on deploying MBSA methodology into railway-specific safety critical system.
Achieving high performance optimization algorithms for embedded applications can be very challenging, particularly when several requirements such as high accuracy computations, short elapsed time, area cost, low power...
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Achieving high performance optimization algorithms for embedded applications can be very challenging, particularly when several requirements such as high accuracy computations, short elapsed time, area cost, low power consumption and portability must be accomplished. This paper proposes a hardware implementation of the Particle Swarm Optimization algorithm with passive congregation (HPPSOpc), which was developed using several floating-point arithmetic libraries. The passive congregation is a biological behavior which allows the swarm to preserve its integrity, balancing between global and local search. The HPPSOpc architecture was implemented on a Virtex5 FPGA device and validated using two multimodal benchmark problems. Synthesis, simulation and execution time results demonstrates that the passive congregation approach is a low cost solution for solving embedded optimization problems with a high performance.
Nowadays, there are a great number of universities and organizations working in e-learning solutions. One of most well-known is the learning management system or LMS that allow displaying theoretical content in an org...
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Nowadays, there are a great number of universities and organizations working in e-learning solutions. One of most well-known is the learning management system or LMS that allow displaying theoretical content in an organized and controlled way. In some jobs and studies it is necessary that the student get a practical knowledge as well as a theoretical knowledge. To obtain this practical knowledge, the universities and organizations are developing virtual labs and Web labs. At these moments the LMS and Web labs are working independently. We are designing and developing a new architecture allowing the integration of the LMS with different Web labs from different universities. This architecture must allow the student, teachers and administrators to use the LMS's services and virtual labs as if he was working with the same software..
Abstract This work investigates the topic of solving Bilinear Matrix Inequalities (BMIs) problems in the optimal control design field, using successive resolutions of properly defined Linear Matrix Inequalities (LMIs)...
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Abstract This work investigates the topic of solving Bilinear Matrix Inequalities (BMIs) problems in the optimal control design field, using successive resolutions of properly defined Linear Matrix Inequalities (LMIs). This technique can be described as an ‘LMI-based coordinate descent method'. Indeed the original (BMI) problem is solved independently for each coordinate at each step using a LMI optimization, while the other coordinate is fixed. No method based on this idea has been formally proved to converge to the global optimum of the BMI problem, or a local optimum in general. This will be discussed using relevant results both from the mathematical programming and control design points of view. This discussion supports the algorithm proposed here which, thanks to a particular change of variables, leads to sequences of improving solutions. Also emphasized is a second improvement important to avoid in practice early convergence to suboptimal solutions instead of local optima. The control framework used is that of optimal output feedback design for linear time invariant (LTI) systems. An example using a random plant is drawn to illustrate the typical effectiveness of the algorithm.
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