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Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original...
The flotation process is a complicated multi-input and multi-output process with the characteristic of strong non-linearity, heavy coupling and large delay. Due to the difficulty of measuring the concentrate grade and tailing grade index online, and its dynamics varying with the process conditions, such a control objective by far is difficult to achieve by the existing control methods to control the...
A robust adaptive neural dynamic surface control (DSC) approach is presented for the longitudinal dynamics of a morphing aircraft in the presence of unknown dynamics and input constraints. For the altitude subsystem, neural systems are utilized to approximate the unknown nonlinear functions with smooth robust compensations to counteract the lumped approximation errors. By combining dynamic surface...
Since all of adaptive models converge to the same point in parameter space, classical second level multiple model adaptive control method cannot deal with linear time-varying system. In order to deal with this drawback, this paper proposes a modified second level adaptive control method based on combining the advantages of adaptive model and fixed model for a class linear discrete time-varying plant...
For a class of nonlinear systems with constraints, a full-state constrained prescribed performance controller based on the command filtered is designed. By combining the adaptive backstepping technique, the constraint command filter is adopted to adapt the constraint and avoid the expansion of the calculation. Pseudo-control hedging techniques are combined with command filters to compensate for errors...
This article develops an adaptive control method for accommodating actuator faults in a class of unknown nonlinear systems without a priori knowledge of high-frequency gain. An adaptive high-gain K-filters with switching laws is proposed to suppress the nonlinearities which are dependent on the unmeasured states. Combining the Nussbaum-gain approach with backstepping design, an adaptive controller...
In this paper we present a computationally inexpensive adaptive control method for a class of single-input single-output (SISO) uncertain nonlinear dynamic system with actuator failure, modeling uncertainties and external disturbances. By blending system deep-rooted information into backstepping control design and with the help of Nussbaum gains, we develop a robust adaptive control scheme to deal...
A new approximating input-output decoupling approach is proposed for linear time invariant systems, which is called H∞ suboptimal input-output decoupling method. The designed decoupling controller ensures not only the closed-loop system to be stable, but also the closed-loop transfer function approximating a nonsingular diagonal one, which is resulting from the feedback controller. This paper mainly...
The problem of passivity is discussed in this paper for reaction-diffusion Cohen-Grossberg neural networks (CGNNs) with multiple time-varying delays. By constructing suitable lyapunov functionals and employing some inequality techniques, several sufficient conditions guaranteeing the passivity of CGNNs are obtained. Furthermore, several criteria for robust passivity are also derived for the case that...
This paper proposes a robust H∞ controller based on Multi-objective genetic algorithms (MOGAs) to control the active magnetic bearings (AMBs) with application to superfluid helium cryogenic centrifugal compressor (CCC). Basic weighting function formulas with seven parameters in all are suggested for H∞ controller, whose physical connections with system performance are clearly explained. Weighting...
A Linear Quadratic robust control algorithm is proposed for the system with non-stochastic uncertainties. In this paper, the uncertainties are the noises which lie in a bounded ellipsoid set. The assumption weakens the requirements of the known Gaussian distribution in the traditional Linear Quadratic Gaussian (LQG) control. Based on the linear characteristic of the system and robust optimization...
In this paper, we suggest a robust non-square MIMO (4×8) PID controller for the multi-mode active vibration damping of a nanobeam. Nanobeam is modeled by using the nonlocal continuum theory of Eringen to consider the small-scale effects and Euler-Bernoulli beam theory. The problem is analyzed for the free vibration case with Heaviside type disturbance of a nanobeam with and without the controller...
For the Multi-Machine power system with STATCOM, it is equivalent to the two machine system. A nonlinear robust STATCOM controller is designed by using the improved backstepping method, immersion and invariant adaptive control and sliding mode control. Firstly, the parameter substitution law of damping coefficient is replaced by the immersion and invariant adaptive control. Then, based on the traditional...
This paper is concerned with the preview control problem for a class of mechanical systems abstracted from a class of seismic-excited active damping structures. First of all, the class of systems is transformed into state equation form, and then it is discretized. By introducing a performance index to reflect the characteristics of the problem, the complete optimal control problem is formulated. The...
The method of B-spline curve fitting linebased on the binary particle swarm optimization is presented in this paper. First, according to the characteristics of the vertical and transverse width of the line must be straight, to extract the lane line feature points, and sorting out the feature points. Then, we select the cubic B-spline curve to fit the curve lane, first the discrete bunary particle...
Deeply GPS/INS integration has been shown to improved navigation performance under low signal-to-noise ratio and high dynamic situations by using INS aided GPS acquisition and carrier tracking. It's important to develop the research on deeply GPS/BDS/INS integration with application of the BDS system. Herein, the decisive technologies in GPS/BDS/INS were investigated and a navigation filter algorithm...
We propose a new method to accelerate the convergence of optimization algorithms. This method simply adds a power coefficient γ ∊ [0, 1) to the gradient during optimization. We call this the Powerball method and analyze the convergence rate for the Powerball method for strongly convex functions and show that it has a faster convergence rate than gradient descent and Newton's method in the initial...
High speed motion will bring the residual vibration for palletizing robot with flexible joints, which will affect the dynamic performance of robot. The time-domain motion character of palletizing robot is analyzed based on modal analysis theory, and the residual vibration model is provided. The problem of residual vibration suppression using motion planning method is regarded as functional extreme...
For the constant linear system and a given quadratic performance index, study the optimal guaranteed cost analysis and control problems based on the linear matrix inequality (LMI) method. Through some lemmas, the conditions of the guaranteed cost state feedback control are converted into a problem of LMI solvability. By solving the LMI, the guaranteed cost controller parameters can be obtained. In...
In this paper, a fractional-order model of hepatitis C virus (HCV) with inhibition due to infection is studied. Based on the basic reproduction number, backward bifurcation of such model is investigated under some conditions. When the efficacy of interferon-α therapy is low, it is shown that the phenomenon of backward bifurcation will appear in the model. It means that there coexist disease-free and...
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