Author
Jun-e Feng
Other affiliations: Chinese Academy of Sciences, Nanjing University of Science and Technology, Liaocheng University
Bio: Jun-e Feng is an academic researcher from Shandong University. The author has contributed to research in topics: Matrix (mathematics) & Boolean network. The author has an hindex of 25, co-authored 155 publications receiving 1852 citations. Previous affiliations of Jun-e Feng include Chinese Academy of Sciences & Nanjing University of Science and Technology.
Papers published on a yearly basis
Papers
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TL;DR: To deal with a class of nonlinear systems with unknown control directions, a command filter-based adaptive tracking controller is designed and guarantees that error signals converge into bounded compact sets around the origin and all closed-loop signals are bounded.
Abstract: To deal with a class of nonlinear systems with unknown control directions, a command filter-based adaptive tracking controller is designed in this paper. In the design process, fuzzy logic system is required to handle nonlinear functions, command filter is employed to settle the explosion of complexity problem and Nussbaum function is introduced to compensate the influence of unknown directions problem. Finally, the proposed control approach guarantees that error signals converge into bounded compact sets around the origin and all closed-loop signals are bounded. The effectiveness of the presented scheme is illustrated by a simulation example.
106 citations
TL;DR: A comprehensive survey on the applications of STP method in engineering, including gene regulation, power system, wireless communication, smart grid, information security, combustion engine and vehicle control, are presented.
Abstract: Semi-tensor product (STP) of matrices has attracted more and more attention from both control theory and engineering in the last two decades. This paper presents a comprehensive survey on the applications of STP method in engineering. Firstly, some preliminary results on STP method are recalled. Secondly, some applications of STP method in engineering, including gene regulation, power system, wireless communication, smart grid, information security, combustion engine and vehicle control, are reviewed. Finally, some potential applications of STP method are predicted.
106 citations
TL;DR: The block decoupling problem is equivalently converted into the solvability of a set of logical matrix equations and the approaches to solve these equations are designed, based on which the suitable coordinate transformations and open-loop controllers can be determined.
Abstract: In this paper, the block decoupling of Boolean control networks is investigated via solving logical matrix equations. First, the definition of block decoupling of Boolean control networks is proposed. Second, the block decoupling problem is equivalently converted into the solvability of a set of logical matrix equations. Subsequently, the approaches to solve these equations are designed, based on which the suitable coordinate transformations and open-loop controllers can be determined. Finally, an illustrative example is given to show the effectiveness of the main results.
97 citations
TL;DR: In terms of linear matrix inequalities, delay-dependent conditions are obtained, which guarantee the considered delayed neural network to have a unique equilibrium point, which is globally asymptotically stable.
85 citations
TL;DR: Stability and stabilization of Boolean networks with stochastic delays are studied via semi-tensor product of matrices and an equivalent condition for the existence of feedback controllers is provided in terms of a convex programming problem, which can be easily solved and conveniently applied to design controller gains.
Abstract: In this paper, stability and stabilization of Boolean networks with stochastic delays are studied via semi-tensor product of matrices. The stochastic delays, randomly attaining finite values, are modeled by Markov chains. By utilizing an augmented method, the considered Boolean network is first converted into two coupled Markovian switching systems without delays. Then, some stochastic stability results are obtained based on stability results of positive systems. Subsequently, the stabilization of Boolean networks with stochastic delays is further investigated, and an equivalent condition for the existence of feedback controllers is provided in terms of a convex programming problem, which can be easily solved and also conveniently applied to design controller gains. Finally, numerical examples are given to illustrate feasibility of the obtained results.
82 citations
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TL;DR: Chapter 8 establishes the relationship between the input and output power spectral densities of a linear system and the theory is extended to multiple input-multiple output systems.
Abstract: Chapter 8 establishes the relationship between the input and output power spectral densities of a linear system. Limitations on results are carefully detailed and the case of oscillator noise is considered. The theory is extended to multiple input-multiple output systems.
789 citations
TL;DR: The stability analysis problem for a class of switched positive linear systems (SPLSs) with average dwell time switching is investigated and a multiple linear copositive Lyapunov function is introduced, by which the sufficient stability criteria are given for the underlying systems in both continuous-time and discrete-time contexts.
597 citations
TL;DR: The Lyapunov stability theory is introduced to demonstrate that the adaptive controller achieves the desired control goals and a numerical simulation is performed which verifies the significance and feasibility of the presented control scheme.
Abstract: This paper presents an adaptive control method for a class of uncertain strict-feedback switched nonlinear systems. First, we consider the constraint characteristics in the switched nonlinear systems to ensure that all states in switched systems do not violate the constraint ranges. Second, we design the controller based on the backstepping technique, while integral Barrier Lyapunov functions (iBLFs) are adopted to solve the full state constraint problems in each step in order to realize the direct constraints on state variables. Furthermore, we introduce the Lyapunov stability theory to demonstrate that the adaptive controller achieves the desired control goals. Finally, we perform a numerical simulation, which further verifies the significance and feasibility of the presented control scheme.
323 citations
TL;DR: A Boolean network encryption algorithm for a synchronous update process is proposed, and a matrix semi-tensor product technique to generate an encrypted image in a second round of diffusion shows good security characteristics.
295 citations