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Studying fish recognition has important realistic and theoretical significance to aquaculture and marine biology. Fish recognition is challenging problem because of distortion, overlap and occlusion of digital images. Previous researchers have done a lot of work on fish recognition, but the classification accuracy may be not high enough. Classification and recognition methods based on convolutional...
The paper considers a reference-based control system for heaving wave energy converters. The proposed controller comprises two parts: lower level part (LLP) and higher level part (HLP). The HPL generates the buoy's velocity reference with the objective to maximize the power absorption with the constraints in the maximum control force and the power take-off device's utilization index. The index is...
This paper proposes a novel estimation method using finite impulse response (FIR) filter for the vehicle roll and bank angles. A vehicle model was constructed using the bicycle model and roll motion model and has parameter uncertainties. The proposed method ensures robust to vehicle parameter uncertainties and has no risk of divergence. Furthermore, the proposed method does not need to use expensive...
This paper develops a linear parameter varying(LPV) based robust model predictive control(MPC) method for a multi-vectored airship, the speed of the forward flight channel is considered. The nonlinear model of the airship is introduced with kinematics and dynamics. Then, in order to obtain the LPV models, the small perturbation linearization method is used. After that, the higher order singular value...
Local community detection (or local clustering) is of fundamental importance in large network analysis. Random walk based methods have been routinely used in this task. Most existing random walk methods are based on the single-walker model. However, without any guidance, a single-walker may not be adequate to effectively capture the local cluster. In this paper, we study a multi-walker chain (MWC)...
This paper presents a new method for designing the weights used for development of robust controllers for a quadrotor model with parameter uncertainty. The weights alongside the controllers are developed for attitude and altitude tracking by resolving a constrained non-linear minimization problem formulated over the conventional mixed sensitivity optimization S over T method. The optimization routine...
In this paper, we use a vision-based image processing technique to propose a method of real-time one-dimensional barcode localization robust for rotation and scale. The proposed method consists of three main steps. The first step generates and analyzes an orientation histogram of input images and removes their background regions and small clutters. The second step analyzes a local entropy-based orientation...
Recently, the fire-rescue ladder is towards to the direction of faster operation, lighter, extended length and larger outreach. The lightweight of the fire-rescue ladder and the limited stiffness of the ladder structure directly lead to different bending vibration problems in different modes. In this paper, the fire-rescue ladder is modeled as segmented Euler-Bemoulli beam with gravity and tip mass...
This paper presents a lambda tuner tool for the analysis and the design proportional-integral-derivative (PID) controllers using Matlab/Simulink software. The proposed application allows the user to easily obtain control parameters with lambda method and several traditional tuning methods. The lambda method guarantees robustness, stability and non-oscillatory response. It should be noted that the...
In this paper, an optimal retail market pricing design for demand response in day-ahead scheduling of smart distribution networks is investigated. Through the well-designed retail market electricity price, the profit of each user is maximized; while the profit of the Distribution Network Operator (DNO) is guaranteed and the risk management model based on the Information Gap Decision Theory (IGDT)...
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...
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...
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...
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...
We study planted problems—finding hidden structures in random noisy inputs—through the lens of the sum-of-squares semidefinite programming hierarchy (SoS). This family of powerful semidefinite programs has recently yielded many new algorithms for planted problems, often achieving the best known polynomial-time guarantees in terms of accuracy of recovered solutions and robustness...
With the aid of a storage-release mechanism named key-keysmith, an implementation approach based on chemical reaction networks (CRNs) for synchronous sequential logic is proposed. This design approach, which stores logic information in keysmith and releases it through key, primarily focuses on the underlying state transitions behind the required logic rather than the electronic circuit representation...
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