The design of high-order proportional plus integral (PI) observers in second-order linear systems is investigated. Based on the solutions to a so-called generalized Sylvester equation, a parametric method to solve thi...
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The design of high-order proportional plus integral (PI) observers in second-order linear systems is investigated. Based on the solutions to a so-called generalized Sylvester equation, a parametric method to solve this design problem is proposed. This method presents the parametric expressions for the gain matrices and the left eigenvector matrix of the high-order PI observers. These parameters included in this method offer all the design degrees of freedom, which can be further utilized to satisfy certain specified performances, such as disturbance decoupling, LTR and robustness. In addition, this method utilizes directly the original system data and involves manipulations only on n-dimensional matrices. An illustrative example shows the effect and simpleness of the proposed method.
To understand the mechanism involved in the lapping process of the silicon nitride balls, the wear mode is investigated in this paper. The abrasion tests were performed on a ball-plate wear test apparatus with differe...
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To understand the mechanism involved in the lapping process of the silicon nitride balls, the wear mode is investigated in this paper. The abrasion tests were performed on a ball-plate wear test apparatus with different loads (0-2N/ball) and slurry concentrations (5%wt-30%wt W20 B4C 3). The abraded surface is observed by optical telescope. A wear-mode map, which defines the regimes for two-body abrasion or three-body abrasion dominating in the micro-scale abrasion test, is plotted with two axes: load and concentration of abrasive. An empirical formula for the wear mode transition is adopted to calculate the transition point S*, which can then used to predict the wear mode in lapping process of silicon nitride ball.
In this paper, a constant non-switching feedback controller, which stabilizes the system on the whole trajectory and doesn't vary with the rolling rate, is proposed according to the parameterized eigenstructure as...
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In this paper, a constant non-switching feedback controller, which stabilizes the system on the whole trajectory and doesn't vary with the rolling rate, is proposed according to the parameterized eigenstructure assignment method for the pitch/yaw channel autopilot of a certain BTT missile. Feedforward compensators are designed based on the model reference method to realize the tracking of the overload signals. The stability of the designed autopilot is strictly analyzed based on the theory of quadratic stability and the resulted system is proved to be robust stable against variations of the rolling rate and system parameters. The structure of the proposed controller is very simple and can be easily realized. Simulation results show the effect of the method
This paper investigates the connection between modified fuzzy basis function (MFBF) -based classifiers and support vector classifiers, establishes a link between fuzzy rules and kernels, and proposes a new approach to...
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Based on H ∞ theory and state-observer theory in time-delay systems, a method of designing controllers for time-delay systems with sensor failures is presented. The controller designed by the proposed method can gua...
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Based on H ∞ theory and state-observer theory in time-delay systems, a method of designing controllers for time-delay systems with sensor failures is presented. The controller designed by the proposed method can guarantee the stability of the resultant closed-loop systems and keep certain H ∞ norm performance in the normal condition as well as in the event of sensor failures. A numerical example shows the validity of the proposed approach.
Fault identification for a class of multiple time-delay systems with unknown input based on a class adaptive observer is investigated. Both of the states and faults of the time-delay systems can be identified by such ...
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Fault identification for a class of multiple time-delay systems with unknown input based on a class adaptive observer is investigated. Both of the states and faults of the time-delay systems can be identified by such adaptive observers. By utilizing H ∞ tracking performance, the design procedure and condition of stability for the adaptive observer are given by LMIs. Finally a numerical example shows the simplicity and the effectivity of the proposed approach.
A novel lapping mode is developed on the base of present eccentric v-grooves lapping mode for precise balls. The kinematics analysis shows that the ball spin axis can wiggle up to 180° under the developed mode, s...
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A novel lapping mode is developed on the base of present eccentric v-grooves lapping mode for precise balls. The kinematics analysis shows that the ball spin axis can wiggle up to 180° under the developed mode, so the lapping trace will be dispersed onto the whole surface of the ball. The effect of offsetting and groove radius on the lapping uniformity in the developed eccentric v-grooves, the present eccentric v-grooves and the traditional v-grooves lapping mode are compared, and the advantage of the developed mode is that the impact offsetting is less while the groove radius has no impact.
Chaotic neural networks have been proved to be powerful tools to solve function and combinatorial optimization problems. Several chaotic neural units were studied and their activation functions are obviously different...
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Chaotic neural networks have been proved to be powerful tools to solve function and combinatorial optimization problems. Several chaotic neural units were studied and their activation functions are obviously different. The reversed bifurcation and Lyapunov exponent figures were respectively given. To improve the search-optimization capacity of chaotic neural network, a new transiently chaotic neural network was presented and its activation function is composed by Morlet and Sigmoid function. Then it was applied to function and combinatorial optimization problems. The simulation results show that the new transiently chaotic neural network is superior to the other transiently chaotic neural networks
Chaotic neural networks have been proved to be powerful tools to solve function and combinatorial optimization problems. Several chaotic neural units were studied and their activation functions are obviously different...
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The traditional adaptive controller based on certainty equivalence (CE) assumption and cautious controller can not provide good control quality for systems with unknown and time-varying parameters. The dual control al...
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The traditional adaptive controller based on certainty equivalence (CE) assumption and cautious controller can not provide good control quality for systems with unknown and time-varying parameters. The dual control algorithm with direct adaptive pole placement is presented. An experimental plant is built up for the roll angle control of a pilot-plant by means of two propellers. The dual control has provided improved control quality in comparison with traditional adaptive control based on the CE assumption and the cautious control. The relative parameters is adjust with off line simulation. The basical analysis and debugging of hardware-in-the-loop simulation is discussed
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