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A weight optimization method for single input single output system H∞ Loop-shaping Design is addressed. Using the proposed method, suboptimal weight which meets constraints of desired loop-shaping and grade of amplitude-frequency curve of weight can be obtained. Acceptable range of amplitude-frequency curve of weight is also given, in which maximum robust stable margin is kept. Designer can choose...
For the system with both polytopic uncertainty and bounded disturbance, an off-line approach to the dynamic output feedback robust model predictive control is considered. To reduce the on-line computational burden, a look-up table is constructed off-line for on-line searching the real-time control parameters. During the on-line searching stage, if an off-line calculated ellipsoidal region of attraction...
In this paper a comparison is made between three thrust steering strategy design methods for the low energy moon return mission. The dynamic equations are given under the elliptical four body problem and the virtual satellite method applied to establish the control model. Because of the narrow launch window and weak stability of the low energy return orbit, the space craft must inject into the target...
This paper develops an opposition-based learning harmony search algorithm with mutation (OLHS-M) for solving global continuous optimization problems. The proposed method is different from the original harmony search (HS) in three aspects. Firstly, opposition-based learning technique is incorporated to the process of improvisation to enlarge the algorithm search space. Then, a new modified mutation...
Following the de Broglie's idea of pilot wave, this paper treats quantum mechanics as a problem of stochastic optimal guidance law design. The guidance scenario considered in the quantum world is that an electron is the flight vehicle to be guided and its accompanying pilot wave is the guidance law to be designed so as to guide the electron to a random target driven by Wiener process, while minimizing...
According to the goal that total annual solar photovoltaic power generation in solar house is as large as possible, and unit power generation costs are as small as possible, multi-objective optimization model of installation and design is established; Efficiency - cost sorting algorithm based on heuristic is proposed. Finally, we applied the algorithm to the practical Photovoltaic cell installation...
One of the most important features of the PSO algorithm is its fast convergence. This is a positive feature as long as there's no premature convergence. Inspired by the phenomenon of quorum sensing behavior in the bacteria, we incorporate this bio-behavior into PSO and MOPSO to maintain the swarm diversity and promote global exploration when the velocity of each particle in the swarm is rather small...
The product diffusion theory and the optimization theory are introduced to research the quantification of the livable index satisfaction for green coverage of urban and performed the quantitative analysis on the rationality of distribution. Using the statistical curve regression theory and mathematical statistics software SPSS, the utility function of livable index satisfaction for green coverage...
With the development of intelligent algorithm, GA and PSO have become the hot spot for the study on multi-objective optimization in recently years. Information sharing is the core of PSO algorithm, Comparing with GA, PSO algorithm has less variables to adjust and is easy to achieve, so it is widely used in engineering. This paper focus on the comparation on several PSO algorithm and introduce a kind...
Harmony search algorithm is a good intelligent optimization algorithm, but it is not high robustness and large random. So combining variable metric method of the better local search ability, Harmony Search Algorithm based on variable metric method is proposed. Giving the theory of the basic harmony search algorithm and variable metric method, the specific processes of the improved algorithm is analyzed,...
The study presented in this paper sets up a new mixing sample update strategy based on the Kriging model to address the issue of accuracy in complicated engineering optimization problems by adding points dynamically. First, a new optimized Latin Hypercube Sampling experiment design method is established to increase the homogeneity of the sample. Second, a sample update strategy based on local optimization...
In order to improve convergence speed and precision of optimization in quantum particle swarm optimization (QPSO), an improved quantum particle swarm optimization (IQPSO) algorithm was presented. Chaotic sequences were used to initialize the origin angle position of particle, mutation operation algorithm was used to increase diversity of population and avoid premature convergence. The proposed algorithm...
In this paper, distributed containment control problems of the second-order multi-agent systems under the undirected communication topology are investigated. Based on the LaSalle's Invariance Principle and the control protocols proposed in this paper, some necessary and sufficient conditions for the achievement of containment control are respectively proposed in the presence of multiple stationary...
In this paper, a distributed attitude consensus tracking control law is proposed for satellite formation flying by using sliding mode method. First, graph theory and Modified Rodriguez Parameters (MRPs) are introduced to describe the relation and dynamics of the team. Second, distributed terminal sliding mode observers are constructed to estimate the velocity state of rigid bodies in the team. The...
This paper is devoted to the consensus problem of multi-agent systems with inherent nonlinear dynamics. To reflect the practical environment of multi-agent systems, the communication topology is assumed to switch slowly within a finite set of directed topologies restricted by an average dwell time switching signal. By taking advantage of tools from switched systems and piecewise Lyapunov functions,...
This paper studies the synchronization problem of multi-agent systems with nonlinear dynamics in mean square. It is supposed that the measurement of relative-state is disturbed. For the nonlinear multi-agent systems, we show that the conventional consensus protocols are robust against the measurement noises which are dependent to the relative-state. Simulations are provided to demonstrate the theoretical...
In this paper, the consensus problem of a class of high order multi-agent systems is studied. We supposed the multi-agent can only exchange information only accord to a directed communication graph. By using the relative state consensus algorithm, a sufficient condition is provided for consensus achievement. Then, a new consensus protocol which using a state observer is provided. The N observer and...
In this paper, aiming at solving the synchronous problem of multi-finger dexterous hand, we introduced the iterative learning control (ILC) algorithm into the control of the system's synchronous coupling error to ensure the synchronization between finger joints on the premise that the system have good performance. In addition, we introduce a Lyapunov-like composite energy function to analyse the stability...
Effective monitoring the growth state of seawater phytoplankton plays an important role for the early warning of marine disasters, such as coastal red tides. Grey correlation analysis method was used to select the secondary variables of the soft sensing model. It can effectively reduce the dimension of the system. Extreme learning machine regression (ELMR) method was used to build the soft sensing...
This article established the mathematical model of system identification of composite trimaran pitching and heave motion model based on the genetic optimization algorithm, using VB language to write the recognition software, Design and produce a composite trimaran test model, doing the free pitching and heaving decay test, then completing the pitching and heave motion system identification according...
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