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Quarterly published in print and online "Inventi Impact: Control Science & Engineering" publishes high quality unpublished as well as high impact pre-published research and reviews catering to the needs of researchers and professional engineers.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\nÃ¢â?¬Å?practical stabilityÃ¢â?¬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 chaosÃ¢â?¬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 chaosÃ¢â?¬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....
This paper introduces a controller unit for reactivity monitoring and automatic power control that was designed and constructed
for the 500kW Dalat Nuclear Research Reactor (DNRR). For power control and reactivity calculations, frequency signals from
neutron measurement channels of starting and working ranges of the reactor are used. Two abovementioned independent
functions were combined in an Artix-7 FPGA board for determining reactivity values by solving the point reactor kinetics
equations with six delayed neutron groups and for stabilizing the reactor power at preset levels by determining the unbalance
voltage signal to control the automatic control rod. With real-time calculations, the newly developed controller can monitor the
reactor reactivity and control the reactor power online. The developed controller unit’s reactivity measuring and power stabilizing
capabilities were assessed using the DNRR in normal operation and assumed emergency conditions and compared with those of
the preexisting imported BNO-102R1 module of the DNRR control and protection system, known as ASUZ-14R. The results of
the experiments show that the produced FPGA-based unit and the BNO-102R1 unit have the same technical characteristics and
features, with the disparities being less than 5% and 1%, respectively, in reactivity measurement and power stabilization. The
experimental data of reactivity measurements by the FPGA-based unit and the calculation results were also compared and found
that the relative deviations between those are also less than 10%. The developed controller unit is capable of carrying out a variety
of training and operational experiments on the DNRR....
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, PoincarÃ?Â´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....
This study proposes a new methodology, based on the optimization procedure by a metaheuristic algorithm, for designing
a hybrid vibration control system to mitigate the dynamic response of buildings under nonstationary artificial earthquakes
(NSAEs). For illustration purposes, a 10-story shear building is studied. The hybrid control system involves the use of an MR
damper (MR) and a tuned mass damper (TMD) located in different places of the structure. To describe the behavior of the MR, the
modified Bouc–Wen model (MBW) was used. To calculate the damping force of the MR, the clipped optimal control associated
with linear quadratic regulator (LQR), CO-LQR, was considered. The optimization was performed using the whale optimization
algorithm (WOA) and seismic load generated by the Kanai–Tajimi spectrum. Different control scenarios were evaluated: MROFF,
MR-ON, CO-LQR, STMD, and CO-LQR (MR + TMD) to determine the best control scenario that can effectively control the
structure. Overall, the optimized hybrid control scenario (MR + TMD) was the only one able to adapt all story drifts to the control
criterion of the consulted normative. Then, CO-LQR (MR + TMD), designed via the methodology proposed in this work, proved
to be the best alternative to control the seismic response of this building....
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