scholarly journals Perancangan Pengendali dengan Umpan Balik Keadaan untuk Networked Control Systems

2018 ◽  
Author(s):  
Asep Najmurrokhman
Keyword(s):  
Time Delay ◽  
Control Systems ◽  
Packet Loss ◽  
Networked Control Systems ◽  
Networked Control ◽  
Markovian Jump Systems ◽  
Markovian Jump ◽  
Jump Systems

Makalah ini telah dipresentasikan dalam Seminar Nasional Multidisiplin Ilmu Universitas Budi Luhur, 7 Oktober 2011. Makalah ini menguraikan tentang perancangan pengendali dengan umpan balik keadaanuntuk Networked Control Systems (NCS). Perkembangan teknologi informasi yang dipicu karena majunya teknologi elektronika dan informatika memberi dorongan bagi peneliti sistem kendali untuk melibatkan jaringan komunikasi sebagai bagian dari loop kendali. Komunitassistem kendali menamakan istilah untuk sistem tersebut sebagai Networked Control Systems(NCS). Dalam NCS, komponen-komponen penyusun sistem terpisah secara spasial dan dihubungkan dengan jaringan komunikasi. Implementasi NCS dipandang menguntungkan karena berkurangnya biaya instalasi, kemudahan dalam pemeliharaan, mudah dikonfigurasiulang, dan sebagainya. Namun, masuknya jaringan komunikasi dalam lingkar kendali menambah kompleksitas dalam analisis dan sintesis pengendalinya, karena adanya parameter yang dipunyai oleh jaringan komunikasi seperti adanya waktu tunda transmisi (time delay), kemungkinan hilangnya paket data yang dikirimkan (packet loss), dan keterbatasan lebar pita dan kecepatan transmisi data. Beberapa parameter dalam jaringan tersebut bisa menyebabkan penurunan performansi dalam sistem, bahkan mungkin menyebabkan ketidakstabilan. Oleh karena itu, salah satu tujuan penelitian dalam NCS adalah merancang pengendali yang mampu menangani parameter tersebut sehingga lingkar tertutup NCS bersifat stabil dan mencapai performansi tertentu. Makalah ini menguraikan tentang perancangan pengendali dengan umpan balik keadaan untuk NCS sehingga lingkar tertutupnya bersifat stabil. Pemodelan sistemnya didekati dengan Markovian Jump Systems (MJS) yang mengakomodasi sifat stokastik dari parameter jaringan. Skema formulasi untuk analisis dan perancangannya dilakukan melalui pertidaksamaanmatriks linier. Hasil utama dari penelitian yang dipaparkan dalam makalah ini adalahformulasi pertidaksamaan matriks linier agar NCS lingkar tertutup dengan umpan balik keadaan bersifat stabil. Sebuah simulasi numerik diberikan untuk memperlihatkan keefektifan dari perancangan yang diuraikan dalam makalah ini. Keywords : Networked Control Systems, Markovian Jump Systems, Umpan Balik Keadaan,

scholarly journals H∞ Filter Design for Networked Control Systems: A Markovian Jump System Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
WanRu Wang ◽  
LianKun Sun ◽  
HongRu Gu
Keyword(s):  
Time Delay ◽  
Control Systems ◽  
Packet Loss ◽  
Performance Index ◽  
Networked Control Systems ◽  
Filter Design ◽  
Networked Control ◽  
Markovian Jump ◽  
Markovian Jump System ◽  
Index Level

This paper puts forward a method to design the H∞ filter for networked control systems (NCSs) with time delay and data packet loss. Based on the properties of Markovian jump system, the packet loss is treated as a constant probability independent and identically distributed Bernoulli random process. Thus, the stochastic stability condition can be acquired for the filtering error system, which meets an H∞ performance index level γ. It is shown that, by introducing a special structure of the relaxation matrix, a linear representation of the filter meeting an H∞ performance index level for NCSs with time delay and packet loss can be obtained, which uses linear matrix inequalities (LMIs). Finally, numerical simulation examples demonstrate the effectiveness of the proposed method.

scholarly journals Robust H∞ Fault Detection for Networked Control Systems with Markov Time-Delays and Data Packet Loss in Both S/C and C/A Channels

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Yan-feng Wang
Keyword(s):  
Time Delay ◽  
Fault Detection ◽  
Control Systems ◽  
Packet Loss ◽  
Time Delays ◽  
Networked Control Systems ◽  
Data Packet ◽  
Networked Control ◽  
Fault Detection Filter ◽  
Detection Filter

This paper investigates the robust H∞ fault detection problem for networked control systems with Markov time-delays and data packet loss in both S/C and C/A channels. First, the time-delay from sensor to controller (S/C) and the time-delay from sensor to actuator (C/A) are described by two different Markov chains. Two random variables obeying the Bernoulli distribution are used to describe the packet loss between the sensor and the controller together between the controller and the actuator. Based on this, a fault detection filter is constructed and the closed-loop system mathematical model is established. Then, the solution method of the fault detection filter and controller gain matrix is given. The relationship between the probability of successful packet transmission and the ability to suppress external disturbance is obtained. Finally, simulation verifies the effectiveness of the proposed method.

Stochastic Admissibility for a Class of Nonlinear Singular Markovian Jump Systems with Time-Delay and Partially Unknown Transition Probabilities

2012 ◽  
Vol 235 ◽  
pp. 254-258 ◽  
Author(s):  
Shao Hua Long ◽  
Shou Ming Zhong
Keyword(s):  
Time Delay ◽  
Transition Probabilities ◽  
Functional Method ◽  
Markovian Jump Systems ◽  
Linear Matrix ◽  
Markovian Jump ◽  
Weighting Matrix ◽  
Singular Markovian Jump Systems ◽  
Jump Systems ◽  
Stochastic Admissibility

The problem of the stochastic admissibility for a class of nonlinear singular Markovian jump systems with time-delay and partially unknown transition probabilities is discussed in this note. The considered singular matrices Er(t) in the discussed system are mode-dependent. By using the free-weighting matrix method and the Lyapunov functional method, a sufficient condition which guarantees the considered system to be stochastically admissible is presented in the form of linear matrix inequalities(LMIs). Finally, a numerical example is given to show the effectiveness of the presented method.

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