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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Dynamics and control 2 (1992), S. 201-219 
    ISSN: 1573-8450
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract Sliding control consists of ans dynamics and an error dynamics where thes dynamics filters the uncertainties. The filtered uncertainties are further filtered by the error dynamics to obtain a desired system response. Thes dynamics rejects the uncertainties and affect the system response significantly. In this article, a SISO sliding control enhances the control of thes dynamics, and the desired system response may be obtained with a straight-forward tuning procedure. The dynamics of the sliding control is analyzed, and a tuning mechanism is presented. Thes dynamics is derived from a first-order plus integral sliding condition. The lower bound of the damping ratio and the equivalent spring constant in thes dynamics are two control parameters. The bandwidth of thes dynamics is determined by the selection of the equivalent spring constant, and the thickness of the boundary layer is controlled by the choice of the lower bound of the damping ratio. The integral ofs in thes dynamics guarantees zero steady-states, and therefore zero steady-state error is warranted.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Dynamics and control 5 (1995), S. 347-363 
    ISSN: 1573-8450
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract The dynamics of a versatile sliding control is presented, which utilizes a low-pass filter for second-orders dynamics and a high-pass (or band-pass) filter for an error dynamics in series. The versatile sliding control places zeros within the error dynamics and applies a second-order sliding condition. The second-orders dynamics sharply rejects unwanted high-frequency signals that include unmodeled dynamics and disturbances. The bandwidth of thes dynamics is designed low such that the excitation to the error dynamics will be minimum. With a lower bound of damping ratio for thes dynamics, the thickness of the boundary layer can be self-tuned by the placed zeros and the spring constant within the sliding condition to fine tune thes dynamics and the error dynamics. The trade-off between tracking accuracy and the robustness to the uncertainties no longer exists. The control exhibits greater flexibility in design and better performance than its counterpart with a first-order sliding condition.
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Journal of clinical monitoring and computing 16 (2000), S. 583-592 
    ISSN: 1573-2614
    Keywords: Fuzzy logic control ; electromyography ; hierarchical structure ; neuromuscular monitoring
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Medicine
    Notes: Abstract Objective. The important task for anaesthetists is to provide an adequate degree of neuromuscular block during surgical operations, so that it should not be difficult to antagonize at the end of surgery. Therefore, this study examined the application of a simple technique (i.e., fuzzy logic) to an almost ideal muscle relaxant (i.e., rocuronium) at general anaesthesia in order to control the system more easily, efficiently, intelligently and safely during an operation. Methods. The characteristics of neuromuscular blockade induced by rocuronium were studied in 10 ASA I or II adult patients anaesthetized with inhalational (i.e., isoflurane) anaesthesia. A Datex Relaxograph was used to monitor neuromuscular block. And, ulnar nerve was stimulated supramaximally with repeated train-of-four via surface electrodes at the wrist. Initially a notebook personal computer was linked to a Datex Relaxograph to monitor electromyogram (EMG) signals which had been pruned by a three-level hierarchical structure of filters in order to design a controller for administering muscle relaxants. Furthermore, a four-level hierarchical fuzzy logic controller using the fuzzy logic and rule of thumb concept has been incorporated into the system. TheStudent’s t test was used to compare the variance between the groups. p 〈 0.05 was considered significant. Results. The system achieved stable control of muscle relaxation with a mean T1% error of −0.19 (SD 0.66) % accommodating a range in mean infusion rate (MIR) of 0.21–0.49 mg· kg−1 · h−1. When these results were compared with our previous ones using the same hierarchical structure applied to mivacurium, less variation in the T1% error (p 〈 0.05) but the same variation in infusion rate were observed. The controller activity of these two drugs showed no significant difference (p〉 0.5). However, the consistent medium coefficient variance (CV) of the MIR of both rocuronium (i.e., 36.13 (SD 9.35) %) and mivacurium (i.e., 34.03 (SD 10.76)%) indicated a good controller activity. Conclusions. The results showed that a hierarchical rule-based monitoring and fuzzy logic control architecture can provide stable control of neuromuscular block despite the considerable individual variation in neuromuscular block required among patients. Also, there was less variation in T1% error compared with that of previous study on mivacurium. Meanwhile, the consistent medium CV of the MIR of both rocuronium and mivacurium indicated a good controller activity which is able to withstand noise, diathermy effect, artifacts and surgical disturbances.
    Type of Medium: Electronic Resource
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  • 4
    Publication Date: 2017-05-23
    Electronic ISSN: 1932-6203
    Topics: Medicine , Natural Sciences in General
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  • 5
    Publication Date: 2019-07-02
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
    Published by Springer Nature
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