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In order to address the problem of detecting and tracking low signal-to-noise-ratio (SNR) targets in bistatic passive coherent location (PCL) system, an improved dynamic programming track-before-detect algorithm is proposed. First, the polar measurements are converted to Cartesian measurements. Second, the Cartesian measurements are clustered with the neural network, and the amplitudes of the valid...
A 4-D fractional order chaotic system without equilibrium point is studied in this paper, the modification of the differential transform method (MDTM) is applied to solving the fractional order chaotic system, and 0–1 test method is used to test chaotic of the system, the regular and chaotic motions can be decided by calculating the asymptotic growth rate K approaching asymptotically to zero or one...
In this paper, we investigate a distributed control approach to addressing the task-space synchronized tracking problem of networked manipulators with uncertain kinematics and dynamics, where the dynamic leader is available to only a subset of followers and followers have only local interaction. Specifically, without task-space velocity measurements, a disturbance observer is introduced to identify...
If accuracy and calculation ability are taken into account at the same time, the existing control strategies for aero-engine are too conservative to obtain reasonable dynamic behavior. Based on ANN model-free adaptive control theory and biological endocrine intelligent principle, an integrated MFAIC control algorithm for aero-engine consists with off-line and on-line online part is put forward. First...
This paper discusses the novel anti-disturbance control algorithm for hypersonic flight vehicle (HFV) models by using neural network (NN) identifier. Different from those existed anti-disturbance results, the unknown exogenous disturbances in HFV models are assumed to be described by the designed NNs with adjustable parameters. Furthermore, the disturbance-observer-based-control (DOBC) algorithm with...
The incomplete normal form game (INFG), in which there are some infeasible profiles, is considered. The structures of INFG and the dynamics of evolutionary INFG are investigated via semi-tensor product (STP) of matrices. First, the dynamics of evolutionary INFG is presented. Then a method is provided to verify whether an INFG is potential. Certain properties of potential INFGs are revealed. Finally,...
In this paper, a new method is presented for identification of single-input single-output (SISO) nonlinear systems with long time delay. The proposed dynamic extreme learning machine (DELM) is different from extreme learning machine in that it adds adaptive delay parameters in the output layer of the network, and the delay parameter is optimized by use of particle swarm algorithm. The dynamic extreme...
For parameter dependent nonlinear system, once the parameter reaches a critical point, the equivalent relationship of the system trajectory will be destroyed and further lead to structural instability of the whole system. This is the dynamic bifurcation phenomenon and is also the fundamental cause of instability oscillations and dynamic failures for most practical systems. In this research, Hopf bifurcation,...
Named Data Networking (NDN) is a general proposed network layer protocol which offers a set of rich functionality: in-network storage, multi-path forwarding, and data-centric security. The cache and multi-path feature improves the efficiency of transmission but increases the difficulty of the bandwidth estimation. In this paper, a dynamic layer switching strategy using Lyapunov Optimization is proposed...
Hybrid system is an important mathematical model for Cyber-Physical System, many physical process always modeled by differential equations. The safety verification of those systems become an urgent problem. In this paper we proposed a heuristical method to determine the system defined by nonlinear differential equation is whether safe or not, we consider the Van der Pol equation as a case study to...
Impulse systems describe impulsive phenomena and consider instantaneous impact on the states of the system. Optimal control of nonlinear impulse system hardly obtains analytical solutions considering the impulse nature. A new numerical algorithm based Adaptive dynamic programming (ADP) herein provides numerical approximation to the optimal control solutions. The difficulty designing ADP algorithm...
To solve the problem of optimal path planning of two-wheeled mobile robots (TWMRs) in the presence of dynamic obstacles, a symplectic pseudospectral method for solving nonlinear optimal control problems with inequality constraints is developed. The proposed algorithm transforms the original nonlinear optimal problem into a series of linear-quadratic optimal control problems (LQOCPs) by using quasilinearization...
In order to solve the problem of trajectory optimization of Space Maneuver Vehicle (SMV), a dynamic neural network method is introduced. Combined with neural network and Pontryagin's maximum principle, the method is able to approximate the optimal solution by neural network. At the same time, with the dynamic process, the problem of guessing covariates' initial value in traditional indirect method...
There are a lot of typical statistical problems in discrete combination optimization, including integer linear programming, covering problem, knapsack problem, graph theory, network flow and dispatching. As for the NPC (Non-deterministic Polynomial complete) problems, many algorithms have been developed for the discrete optimization where the heuristic algorithm is one kind of the important and effective...
In order to improve the performance of teaching-learning-based optimization algorithm, a hybrid teaching-learning-based optimization algorithm is presented in this paper. The hybrid approach combine with the strength of harmony search algorithm and teaching-learning-based optimization algorithm, which is aim to enhance the global search ability and local exploitation cababillity. Moreover, A new learning...
With the continuous development of intelligent logistics, the application of Automated Guided Vehicles (AGVs) increasingly becomes popular in many industrial fields. However, there are a series of problems in multi-AGV systems, such as resource allocation, conflict and deadlock. It is difficult to plan the shortest path for each AGV without conflict and collision in multi-AGV systems. In this paper,...
Mission planning is an effective support and important guarantee for agile satellites to implement earth observation missions. According to traditional mission planning methods by which the mission and attitude are independently planned, the observation efficiency of agile satellites cannot be fully utilized. This paper considers the cooperative planning of mission and attitude, and establishes a...
Production scheduling is the key one of the basic means of production management, and the production scheduling optimization is one of the core technologies of modern management technology. According to the characteristics of quick response and order driven of production in textile machinery manufacturing enterprise, an optimal production scheduling mode is proposed which is based on improved bee...
The process optimization of train operation is a sophisticated multi-objective optimization problem. Due to the fact that the multi-objective optimization model of train operation process is difficult to be solved precisely, the process optimization of train operation based on multi-objective memetic algorithm using incorporated preference information and fuzzy logic is proposed in this paper. In...
In order to reduce the pump electricity cost with the flow demand satisfied, an operation optimization problem is formulated for the third Huaiyin pumping station and the mathematical model of optimal daily operation with variable speed is established with variable speed drive for multiple pump units. With the characteristics of the mathematical model analyzed, an improved dynamic programming algorithm...
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