Frequency: Quarterly E- ISSN: 2277-226X P- ISSN: Awaited Abstracted/ Indexed in: Ulrich's International Periodical Directory, Google Scholar, SCIRUS, getCITED, Genamics JournalSeek
Quarterly published in print and online "Inventi Impact: Control Science & Engineering" publishes high quality unpublished as well as high impact pre-published research and reviews catering to the needs of researchers and professional engineers. The journal deals with multiple aspects of controls such as: Adaptive Control, Cooperative Control, Decentralized Control, Digital Control, Discrete Event Systems, Distributed Parameter Systems, Fuzzy Control, Hybrid Control, Intelligent Control, Linear and non-linear Control.
This paper presents the state identification study of 3D partial differential equations (PDEs) using the differential neural networks\n(DNNs) approximation. There are so many physical situations in applied mathematics and engineering that can be described by\nPDEs; these models possess the disadvantage of having many sources of uncertainties around their mathematical representation.\nMoreover, to find the exact solutions of those uncertain PDEs is not a trivial task especially if the PDE is described in two or more\ndimensions. Given the continuous nature and the temporal evolution of these systems, differential neural networks are an attractive\noption as nonparametric identifiers capable of estimating a 3D distributed model. The adaptive laws for weights ensure the\nââ?¬Å?practical stabilityââ?¬Â of the DNN trajectories to the parabolic three-dimensional (3D) PDE states. To verify the qualitative behavior\nof the suggested methodology, here a nonparametric modeling problem for a distributed parameter plant is analyzed....
The growing complexity of optimization problems in distributed systems (DSs) has motivated computer scientists to strive for\nefficient approaches. This paper presents a novel cooperative algorithm inspired by chaosââ?¬â??order transition in a chaotic ant swarm\n(CAS). This work analyzes the basic dynamic characteristics of a DS in light of a networked multi agent system at microlevel\nand models a mapping from state set to self-organization mechanism set under the guide of system theory at macro level. A\ncollaborative optimization algorithm (COA) inDS based on the chaosââ?¬â??order transition of CAS is then devised. To verify the validity\nof the proposed model and algorithm, we solve a locality-based task allocation in a networked multi agent system that uses COA.\nSimulations show that our algorithm is feasible and effective compared with previous task allocation approaches, thereby illustrating\nthat our design ideas are correct....
This paper presents a novel control system for chiller plants that is decentralized and\nflat-structured. Each device in chiller plant system is fitted with a smart node. It is a smart agent,\nwhich collects, handles and sends out information to its neighbours. All the smart nodes form a\nnetwork that can realize self-organization and self-recognition. Different kinds of control strategies\ncan be converted into series of decentralized computing processes carried on by the smart nodes.\nThe principle and mechanism of this decentralized, flat-structured control system for chiller plants\nare described in detail. Then a case study is presented to show how to build the decentralized,\nflat-structured control system actually. The measured data shows that the decentralized control\nmethod is energy efficiency. Moreover, it is much more flexible and scalable compared with the\ntraditional centralized control method....
The construction and several control problems of a new hyperchaotic finance system are investigated in this paper. Firstly, a\nnew four-dimensional hyperchaotic finance system is introduced, based on which a new hyperchaos is then generated by setting\nparameters. And the qualitative analysis is numerically studied to confirm the dynamical processes, for example, the bifurcation\ndiagram, Poincar�´e sections, Lyapunov exponents, and phase portraits. Interestingly, the obtained results show that this new system\ncan display complex characteristics: chaotic, hyperchaotic, and quasiperiodic phenomena occur alternately versus parameters.\nSecondly, three single input adaptive controllers are designed to realize the control problems of such system: stabilization,\nsynchronization, and coexistence of antisynchronization and complete synchronization, respectively. It is noted that the designed\ncontrollers are simpler than the existing ones. Finally, numerical simulations are provided to demonstrate the validity and the\neffectiveness of the proposed theoretical results....
A vehicle’s oscillation can be improved by using an active suspension system to replace the conventional passive suspension system. The active suspension system operates on the control signal from the controller. This paper introduces the Fuzzy-PI integrated control algorithm to control the system’s efficiency. The Fuzzy algorithm adjusts the KP and KI parameters of the controller. This response depends on the oscillation state of the vehicle. A quarter model with a hydraulic actuator was used in this research. The simulation process takes place in the MATLAB-Simulink environment. In the first case, the maximum and average values of displacement and acceleration of the sprung mass when the vehicle uses the Fuzzy-PI algorithm are only 2.68%, 1.34%, and 1.65%, 0.66%, respectively, compared to the situation of vehicles using the passive suspension system. For the second case, these values are 3.33%, 1.69%, and 2.01%, 0.73%, respectively. As a result, the vehicle’s stability and comfort are greatly enhanced when the integrated controller is used. Besides, the change of KP and KI parameters is also completely suitable for the vehicle’s driving conditions. This research only leads to calculations and simulations; the experimental process is expected to occur soon....
This paper analyzes one kind of optimal control problem which is described by forward-backward stochastic differential equations with\nLevy process (FBSDEL).Wederive a necessary condition for the existence of the optimal control by means of spike variational technique,\nwhile the control domain is not necessarily convex. Simultaneously, we also get the maximum principle for this control system when\nthere are some initial and terminal state constraints. Finally, a financial example is discussed to illustrate the application of our result....
We present an improved method for determining the search direction in the BFGS algorithm. Our approach uses the equal inner\nproduct decomposition method for positive-definite matrices. The decomposition of an approximated Hessian matrix expresses a\ncorrection formula that is independent fromthe exact line search. This decomposed matrix is used to compute the search direction\nin a new BFGS algorithm....
This paper considers the robust and adaptive nonsingular terminal sliding mode (NTSM) control for a class of second-order\nuncertain systems. First, a new fast NTSM was proposed which had global fast convergence rate in the sliding phase. Then, a\nnew form of robust NTSM controller was designed to handle a wider class of second-order uncertain systems. Moreover, an\nexponential-decline switching gain was introduced for chattering suppression. After that, a double sliding surfaces control scheme\nwas constructed to combine the NTSM control with the adaptive technique.The benefit is that a strict demonstration can be given\nfor the stagnation problem in the stability analysis of NTSM. Finally, a case study for tracking control of a variable-length pendulum\nwas performed to verify the proposed controllers....
The decision of call admission becomes an important work owing to the scarce wireless spectrum for wireless cellular networks.\r\nIf there exists adequate information for call admission control (CAC) schemes, the terms of quality of service (QoS), such as call\r\ndropping probability (CDP), call blocking probability (CBP), and system utilization, will be kept in a certain acceptable level.\r\nTherefore, a prediction system which can predict most information, such as system utilization and CDP, in advance with a novel\r\ndata mining technique and a distributed CAC scheme is presented in this paper. Based on the prediction results and the bandwidth\r\nconsumption of adjacent cells, the proposed CAC scheme is able to decide to admit a new call. The throttle flag that can indicate\r\nthe usage of current cell is proposed to prevent the newly admitted call request from being blocked in adjacent cells if handoff is\r\nneeded. The simulation results show that the proposed CAC scheme can maintain the CDP below a predefined threshold, and the\r\nCBP is also lower than the cluster prediction and traditional guard channel policies....
Research on stealthiness has become an important topic in the field of data integrity (DI) attacks. To construct stealthy DI attacks,\na common assumption in most related studies is that attackers have prior model knowledge of physical systems. In this paper, such\nassumption is relaxed and a covert agent is proposed based on the least squares support vector regression (LSSVR). By estimating\na plant model from control and sensory data, the LSSVR-based covert agent can closely imitate the behavior of the physical plant.\nThen, the covert agent is used to construct a covert loop, which can keep the controller�s input and output both stealthy over a finite\ntime window. Experiments have been carried out to show the effectiveness of the proposed method....
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