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In this paper, we consider the design problem of a decentralized variable gain robust controller that provides practical tracking for a class of large-scale interconnected systems with mismatched uncertainties. Furthermore, we show that sufficient conditions for the existence of the proposed decentralized variable gain robust controller are reduced to the feasibility of linear matrix inequalities...
In this paper, the non-fragile finite-time tracking control problem is addressed for a class of uncertain linear systems with controller multiplicative coefficient variations. An adaptive control strategy is constructed to ensure that the system tracks a time-varying target orbit. The relationship of the bound of tracking errors and the size of uncertainties and controller multiplicative coefficient...
This paper proposes a novel adaptive sliding mode observer to improve the performance of sensorless control of permanent magnet synchronous motor (PMSM) in the More Electric Aircraft (MEA) system. An adaptive sliding mode observer base on adaptively tuning the observer gain is investigated to relax the requirement for the bound of load uncertainties and strengthen the anti-interference ability. System...
When designing dependable cyber-physical systems, software architects must plan for defects and environmentally caused failures. Determining the right degree of redundancy is a complex task which requires balancing failure potential reduction, additional coordination effort, increased costs, weight, and power consumption. An efficient fail-operational design requires software-based measures increasing...
Distributed computing platforms provide a robust mechanism to perform large-scale computations by splitting the task and data among multiple locations, possibly located thousands of miles apart geographically. Although such distribution of resources can lead to benefits, it also comes with its associated problems such as rampant duplication of file transfers increasing congestion, long job completion...
This paper presents the application of a robust nonlinear optimal controller for regulating the active and reactive power in a grid-connected three-phase inverter, which includes an LCL filter to mitigate the total harmonic distortion. The optimal control law is derived from the Hamilton-Jacobi-Bellman equation for state-dependent coefficient factorized nonlinear systems. An integral control term...
This paper deals with the experimental results of implementing a fault tolerant control (FTC) in a classical ball-on-plate control framework. The work builds on the fact that a robust nominal controller is found to be insufficient in accommodating a sensor fault generated by the presence of a second ball. Invariant sets are used to monitor and detect occurrence of faults in the system and a switching...
We consider a plant affected by multiple faults (modeled through a piecewise affine formalism). Using a bank of finite-window observers and an artificially-induced feedback delay we provide an exact fault detection and isolation (FDI) mechanism, integrated into the overall fault tolerant control scheme. We use zonotopic characterizations for the sets of interest in order to provide explicit conditions...
Accurate ground area detection is one of the most important tasks in various stereo vision based applications, such as autonomous driving or assistive technologies for visually impaired. Correct assertion of the ground geometry improves obstacle detection algorithms by eliminating false positive locations in image. In this paper we provide an application oriented evaluation on the correlation of the...
This paper presents a voltage control strategy for a DC load powered by a three phase inverter connected to a Permanent Magnet Synchronous Generator (PMSG). The DC load consists of a DC capacitor in parallel with the inverter and the unknown current load. The control strategy is designed based on Simple Adaptive Control (SAC) technique. The structure is a cascade controller designed in rotor reference...
Nowadays, the control systems based on communication networks are used various industries such as manufacturing, automotive, aerospace, power generation and distribution, with many advantages and a couple of disadvantages. The latter can seriously affect the performances and the stability of each control system in the network and of the complex system as a whole. Moreover, it is well known that packet...
We describe a general technique that yields the first Statistical Query lower bounds} fora range of fundamental high-dimensional learning problems involving Gaussian distributions. Our main results are for the problems of (1) learning Gaussian mixture models (GMMs), and (2) robust (agnostic) learning of a single unknown Gaussian distribution. For each of these problems, we show a super-polynomial...
Phase-locked loops (PLLs) are very important in power and energy areas. Many PLLs have been proposed in recent literatures, and all these methods are to design a robust filter and let them be as a preprocessing tool before the synchronous reference frame PLL (SRF-PLL) input. Among these PLLs, a interesting PLL is Least-Error Squares (LES) Filter-Based PLL (LES-PLL), which is composed of a LES filter...
This paper addresses the modeling and controller design of large scale dc microgrids with nonlinear loads. First, the dynamic models of the sources and loads are discussed in detail, placing particular emphasis on generators with passive rectification and Constant Power Loads (CPLs) with input filters. These models will be defined as source and load nodes which along with internal nodes, will be integrated...
Solid state transformers (SSTs) can be interconnected with each other through a distribution feeder to form a smart grid. When the main grid is disconnected, SSTs form an islanded microgrid. With available communications, master-slave microgrid control structure can be adopted. The system-level stability analysis can be simplified by considering only the grid interface stage of the SST. The loop feeder...
In this work we propose an implementation approach to a feature-based algorithm that stitch images which comes form MicroScanner, a low cost digital microscope created at Mogai Information Technology. This program solve the trade-off problem between field of view and resolution. These codes were developed in C++ language, with help of OpenCV library. The sequence of pictures taken is used by the program...
This paper presents a robust deadbeat predictive power control (DBPC) for PWM rectifiers with consideration of parameter mismatches. To achieve accurate power control with crude estimations of the grid-side impedance, the system disturbance caused by inaccurate parameter is analyzed. Then, a complex power based sliding-mode disturbance observer (SMDO) is proposed. Both DBPC and SMDO are implemented...
This paper deals with a robust input-output feedback linearization control technique for induction motors. The idea arises from the observation that classic feedback linearization suffers primarily from two disadvantages: the accuracy of the dynamic model and the corresponding correct knowledge of the model parameters. To cope with the limit of the feedback linearization control, intrinsically connected...
Roadway Inductive Power Transfer depends on robust and reliable primary magnetic couplers (pads), but existing pads use large quantities of ferrite, a brittle magnetic material. This paper presents two variations on the Double D topology to reduce or remove the ferrite thereby making the system more robust, using an additional coil to help shape the field instead. Simulations and laboratory validations...
Recent studies of biological networks show that these networks are robust against the random or selective deletion of network nodes and / or edges. Ability to maintain performance of network under mutations is a key feature of live systems that has long been recognized. However, the molecular and cellular basis of this stability has just begun to be understood. Robustness is a key to understanding...
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