Sliding Mode Control and Adaptive Control are widely studied in the area of Rotor UAV in recent years. Although the performance of Rotor UAV with these controllers show high command tracking ability ...and good robustness, they are limited by model accuracy so that they cannot take place PID. In this paper, a novel method named State damping control is proposed to be a candidate for the traditional PID method. Our proposed State Damping Control is inspired by the format of air resistance. The method is based on the general idea that resistance will make a system easy to stabilize. State damping control is independent of model accuracy and just uses three parameters to control attitude, so it is easy to realize. Krasovskii Theorem is used to give the evidence that State damping control is asymptotic stable in our considered state space. Finally, simulations are implemented in C++ on VS2017, it demonstrates that State damping control is easy to be tuned and robust to wind attack and inertial parameters. Compared with PID, our proposed method is robust to wind disturbances obviously.
In this letter, a novel sext‐band bandpass filter (BPF) using two split‐type multiple‐mode resonators is proposed. The filter is composed of two sets of resonators which are respectively designed to ...realize Filter 1 with two passbands and Filter 2 with quad passbands. Then the two BPFs are combined by parallel coupling feed lines for sext‐band responses, and each of the six centre frequencies in the proposed sext‐band BPF is able to be controlled due to the design freedom. To validate the design and analysis, a prototype filter has been fabricated with six passbands centred at 1.88/2.59/3.48/5.26/5.82/6.75 GHz. The measured result of the fabricated filter agrees well with the simulation, which shows that the proposed structure is a good candidate for sext‐band BPF designs and validates the proposed design flow well.
A novel sext‐band bandpass filter (BPF) using two split‐type multiple‐mode resonators is proposed. To validate the design and analysis, a prototype filter has been fabricated with six passbands centered at 1.88/2.59/3.48/5.26/5.82/6.75 GHz.
State-of-health (SOH) estimation is critical for the battery management system. With autonomous ability and superior nonlinear mapping capability, machine learning is now a hot topic in this field. ...The training sample set of current machine learning methods based on single learner is often the regional data, which leads to a small range of data acquisition and affects the generalization ability of the model. Regard this issue, the idea of ensemble learning is considered, and by generating differential data samples and synthesizing the output of a series of base learners, a good learning performance can be achieved. Furthermore, gray relational analysis is used for feature correlation analysis. In this paper, NASA battery data sets are used to verify and validate the performance of the proposed method, which indicated an enhanced accuracy of the results based on the ensemble learning method. The proposed battery healthy assessment model based on ensemble learning can be concluded to provide highly accurate and stable SOH predictions.
The issue of fuzzy filtering for Markov switching repeat scalar nonlinear systems (MSRSNSs) with parameter uncertainty is explored. With consideration of uncertainty, a more general class of MSRSNSs ...is inferred. By resorting to a hidden Markov model technique, the asynchronous partially mode-dependent filter is established, in which the filter modes operate asynchronously with the target plant ones. By constructing the diagonally dominant-type Lyapunov functional, sufficient conditions are derived to ensure that the filtering error MSRSNS is stochastically stable with a desired
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performance index. Two simulation examples are given to validate the correctness and applicability of the presented theoretical results.
In recent years, abundant natural gas has been found in microbial carbonates in the fourth member of the Leikoupo Formation in Western Sichuan Basin. In this study, from the observation of 626 ...microbial thin sections, four types of microbial carbonates are classified based on the differences of mesostructures. Among them, thrombolites and stromatolites are subdivided into eight types based on the differences of microstructures. Six types of microbial microstructure association (MSA) are identified, and are mainly developed in microbial mounds. The energy of sedimentary environment and hydrodynamic conditions of them from low to high is MSA-5, MSA-1, MSA-6, MSA-3, MSA-4 and MSA-2. Because of the arid climate in the Annie Period, a restricted platform are developed in the upper sub-member of the Leikoupo Formation in Western Sichuan Basin, and the sedimentary facies are lagoon (gypsiferous lagoon or salt lake in evaporate conditions), microbial mounds, shoals, inner platform shoals and open sea from the east to the west. Microbial microstructures not only affect the pore evolution of microbial carbonate reservoirs, but also affect the diagenesis of microbial carbonate reservoirs of the fourth member of the Leikoupo Formation.
This article studies the observer‐based integral sliding mode control (ISMC) problem for continuously uncertain neutral semi‐Markovian jumping systems with time‐varying delays (TDs). Firstly, based ...on the designed state observer, an ISMC method is proposed for the first time. Then, building an appropriate stochastic Lyapunov–Krasovskii functional by taking into account more information about TDs, a novel sufficient condition is established for the robustly stochastic stability of the overall system made up of the error system and the sliding mode dynamics system. Furthermore, an ISMC law is devised to ensure the reachability of the integral sliding surface in a finite time. Additionally, the proposed method can be reduced to the known state case, thus, the ISMC problem for continuously uncertain neutral semi‐Markovian jumping systems with TDs is also investigated in this article. Finally, three numerical examples explain the effectiveness of the results obtained.
This article studies the observer‐based integral sliding mode control (ISMC) problem for continuously uncertain neutral semi‐Markovian jumping systems with time‐varying delays. Firstly, based on the designed state observer propose an ISMC method. Then, through Lyapunov–Krasovskii functional method establish a novel sufficient condition. Finally, an ISMC law is devised to ensure the reachability of the sliding surface in a finite time.
In this work, the problem of hybrid control strategy for delayed neural networks is investigated via an impulsive-based bilateral looped-functional (IBBLF) approach. Firstly, a hybrid controller is ...introduced, which includes feedback control and impulsive control, and the feedback control plays a vital role in the case of impulsive perturbation. Secondly, an IBBLF is constructed to relax the requirement of positive definiteness and only satisfies it at the impulsive instants, which reduces the conservatism of the stability results. Thirdly, the construction of IBBLF takes full advantage of the state information on both the intervals
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, then combining with a proposed lemma, exponential stability criteria with less conservative are obtained. In addition, the obtained results are applied to nonlinear sampled-data systems. Finally, two numerical examples are presented to certify the effectiveness and superiority of the theoretical results.
This paper investigates the problem of event-triggered finite-time extended dissipative control for a class of switched linear systems. We propose a novel event-triggered method that allows frequent ...system switching over an event-triggered interval, which is different from the previous work that only one switching happened over the event-triggered interval. By average dwell time and a novel controller-mode-dependent Lyapunov function method, we give sufficient conditions for finite-time extended dissipative analysis of the closed-loop switched linear system. LMIs are used for the design of the controller. Finally, numerical examples are given to illustrate the effectiveness of the proposed method.
This article addresses the dissipativity-based nonfragile reliability sampled-data asynchronous synthesis problem for nonlinear networked control systems approximated by interval-valued fuzzy models, ...which with randomly occurring parametric uncertainties (ROPUs) and controller gain fluctuations (ROCGFs) simultaneously against semi-Markovian-type hybrid actuator failures (SMHAFs). Herein, the asynchronous phenomenon is the result of imperfectly matched membership functions (IMMFs) between the plant and controller. The stochastically uncertainties including system parameters and controller gain floats are characterized by a battery of mutually independent stochastic variables abiding by Bernoulli-distributed white sequences, which can be better to model more realistic scenarios and accord well with practical applications. In contrast with some existing publications, a novel and more realistic actuator fault model related to semi-Markovian coefficient is innovatively constructed to depict the stochastic actuator failures (SAFs), which is more in line with the actual situation and capable of covering previous faulty models, including healthy model, stuck faulty model, outage faulty model, and bias faulty model, etc. Thereafter, by exploiting an appropriately mode-dependent Lyapunov–Krasovskii functional and incorporating the skill of stochastic analysis technique, some sufficient conditions are formulated for acquiring the required theoretical outcomes. Precisely, by transforming the nonlinear matrix inequalities into strict linear constraints, dissipativity-based resilient fuzzy switching controller is designed to carry out the stochastic asymptotically stable while achieving the pre-specified
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dissipative performance level for the resultant semi-Markovian model. Additionally, the sufficient conditions are established in the form of a group of linear matrix inequalities (LMIs), which can be computed by adopting the standard software packages. Eventually, by resorting to an inverted pendulum model (IPM) and the variable speed wind turbine system (VSWTS), numerical simulations are elaborated to elucidate the feasibility and applicability of the proposed control design methodology.
This paper deals with asynchronous control for discrete-time switched time-delay system with persistent dwell-time (PDT). The mode-dependent PDT switching is adopted, which is more general than ...average dwell time switching. Moreover, to deal with the mode-dependent delay in mode identification and signal transmission, the asynchronous phenomenon between controllers and subsystems is considered. A new mode-dependent Lyapunov function is constructed, which is suitable to the asynchronous PDT switching. Then, the sufficient condition for globally uniformly asymptotically stable (GUAS) of the discrete-time switched time-delay system is proposed. Further, the asynchronous controller and switching law are designed such that the closed-loop system is GUAS. Finally, an application example of water pollution is given to show the effectiveness of the proposed method.
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