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To process the uncertainty of decision-making environment and the real-time during the tactical decision of UAV medium-range air combat, a hybrid tactical decision-making method based on rule sets and Fuzzy Bayesian network (FBN) was proposed. By studying the process of UAV air combat, the main factors that affect the tactical decision were analyzed. A corresponding FBN and expert system were built...
This paper presents a new workforce allocation optimization model for project scheduling problems with multi-skilled workforce constraints (PSPMSWC), under uncertainty about the projects. The model is a mixed-integer program(MIP) model that aims at maximizing the total profit. As a subproblem, scheduling and staff assignment for projects must also be optimized. In the experiment, projects are selected...
Extreme Learning Machine (ELM), recently developed by Huang et al., has been demonstrating an exciting learning algorithm for Single hidden Layer Feedback Neural Networks (SLFN). In this paper, the ELM has been introduced to approximate the unknown functions, which may not be parameterized and so make it impossible to develop an adaptive controller. Besides, the Nussbaum-type gain method is also incorporated...
Non-fragile robust control problem of a fan system is studied. It is pointed out that this problem of the fan system is really a non-fragile robust performance problem, the problem of the fan control system with both non-fragile robust stability and performance requirements(bandwidth and other performances). It is also suggested that the design of the non-fragile robust performance of the fan system...
The paper considers the robust H2 state feedback control design for a class of linear uncertain systems with input quantization. The uncertainties are assumed to be time-varying, unknown, but bounded. The state feedback controller includes two parts. The first part, u1(t), whose gains updating automatically between the lower bounds and upper bounds of uncertain parameters, is obtained according to...
This paper focuses on the problem of the robust H∞ control with circular pole constraints in uncertain singular systems. Firstly, the concept of quadratic d stablizability with an H∞ norm-bound is introduced for the uncertain continuous-time singular system. Secondly, the robust H∞ control problem is solved in the uncertain continuous-time singular systems, on the basis of circular pole constraints...
In this paper, we discuss how to synthesize a stabilizably robust controller for a ball and plate system (BPS). In order to reduce the fragility in its robust controller synthesis, a loop-shaping method in terms of a normalized right coprime factor (NRCF) uncertainty description for the BPS is thus employed. In effect, the design of weighting functions for the BPS loop-shaping is a decisive factor...
This paper presents the usage of discrete-time sliding mode control (SMC) algorithm based on disturbance observer in multi-area interconnected power systems. Compared with other schemes, sliding mode control not only can reduce large overshoots, which occurs at the instant of the step change of parameters, but also its control law is easy to implement. The disturbance observer can estimate uncertainties...
The sliding mode control (SMC) problem is investigated for a discrete time-delay nonlinear systems with uncertainties and packet losses. The uncertainties may occur randomly and be assumed to be norm-bounded. The delays are time-varying but bounded functions. Firstly, under the assumption that the dropout probability is known, the states of the system are constructed, and the sliding mode function...
In this paper, a fractional-order sliding mode controller is proposed to realize the finite-time stabilization of fractional order (FO) system. The FO systems are perturbed by model uncertainties and external disturbances. First, a new fractional non-singular terminal sliding surface with desired dynamics is proposed. Subsequently, on the basis of Lyapunov function and finite-time control theory,...
In this work, the authors consider the applications of sliding mode controllers to the longitudinal flight dynamics of the benchmark system of scaled Yak-54 Unmanned Aerial Vehicle for executing maneuvers over full flight envelope. Control of unmanned aerial vehicle involves the problem of incomplete measurements, modeling uncertainties and external disturbances. Sliding mode control provides good...
This paper considers the distributed robust consensus problem of multi-agent systems with Lipschitz nonlinear dynamics and subject to different matching uncertainties. Due to the existence of nonidentical uncertainties, the multi-agent systems discussed in this paper are essentially heterogeneous. For the case where the communication graph is undirected and connected, based on the local state information...
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...
For the nonlinear coupling control problem induced by the maneuver flying with high angle of attack of the hypersonic vehicle, the dynamic inversion is used to realize the decoupling of the attack angle and bank angle dynamics. For the model uncertainty, parameter perturbation and outer disturbance, the estimation and compensation of the disturbance moments is carried out by the extended state observer...
The three-axis stabilized satellite's attitude control under repairable fault conditions is researched in this paper. With the consideration of rotational inertia uncertainty, a control effectiveness factor is used to describe the fault magnitude of satellite actuators. Moreover, the uncertainty of fault diagnosis results is also considered in the design of controller. And a feedforward control unit...
The derivation of priority weights plays an important role in multi criteria decision making (MCDM) with preference relations. In this paper, interval fuzzy numbers are used to capture vagueness and uncertainty in imprecise judgment data by means of interval fuzzy preference relations. The criterion weights or priority weights of decision alternatives are characterized by normalized interval weights...
This paper studies the quantized partial-state feedback stabilization of a class of nonlinear cascaded systems with dynamic uncertainties. Under the assumption that the dynamic uncertainties are input-to-state practically stable, we develop a novel recursive design method for quantized stabilization by taking into account the influence of quantization and using the small-gain theorem. When the dynamic...
After introducing difficulty of digital instrumentation and control system failure data estimation, it's pointed out not only random uncertainty, but also epistemic uncertainty of failure data should be addressed in a systematic way. Advantage, limitation and application status of traditional uncertainty analysis method, Bayesian theory based method, probability theory based method and two dimension...
In this paper, the problem of robust ℋ∞ observer design for one-sided Lipschitz nonlinear systems in the presence of time-varying parametric uncertainties is addressed. The main idea is to minimize the ℒ2 gain from the disturbance to the state estimation error and at the same time the admissible one-sided Lipschitz constant is to be maximized. In addition to asymptotic convergence, the designed observer...
Risk evaluation of equipment development, it's the key point to make sure the success of the whole equipment development. Firstly, the paper respectively provided methods of how to transform three typical forms of uncertainty risk information into triangular fuzzy number. Then, the paper established risk assessment models based on triangular fuzzy number and TOPSIS. Finally, the paper tested the above...
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