This paper considers synchronization problem of an uncertain complex dynamical network. The norm-bounded uncertainties enter into the complex dynamical network in randomly ways, and such randomly occurring uncertainti...
This paper considers synchronization problem of an uncertain complex dynamical network. The norm-bounded uncertainties enter into the complex dynamical network in randomly ways, and such randomly occurring uncertainties (ROUs) obey certain mutually uncorrelated Bernoulli distributed white noise sequences. Under the circumstances, a robust $\mathcal{H}_{\infty}$ decentralized dynamic feedback controller is designed to achieve asymptotic synchronization of the network. Based on Lyapunov stability theory and linear matrix inequality (LMI) framework, the existence condition for feasible controllers is derived in terms of LMIs. Finally, the proposed method is applied to a numerical example in order to show the effectiveness of our result.
This paper is concerned with the synchronization problem for complex dynamical networks with time-varying coupling delay and sampled-data. The sampling period considered here is assumed to be time-varying but bounded....
详细信息
This paper is concerned with the synchronization problem for complex dynamical networks with time-varying coupling delay and sampled-data. The sampling period considered here is assumed to be time-varying but bounded. A novel exponential synchronization condition is established based on the Gronwall's inequality, and an explicit expression for a set of sampled-data synchronization controllers is also given in terms of the solution to linear matrix inequalities. A numerical example is introduced to show the effectiveness of the given result.
This paper presents an online adaptive optimal control algorithm based on policy iteration reinforcement learning techniques to solve the continuous-time Stackelberg games with infinite horizon for linear systems. Thi...
详细信息
ISBN:
(纸本)9781467320658
This paper presents an online adaptive optimal control algorithm based on policy iteration reinforcement learning techniques to solve the continuous-time Stackelberg games with infinite horizon for linear systems. This adaptive optimal control method finds in real-time approximations of the optimal value and the Stackelberg-equilibrium solution, while also guaranteeing closed-loop stability. The optimal-adaptive algorithm is implemented as a separate actor/critic parametric network approximator structure for every player, and involves simultaneous continuous-time adaptation of the actor/critic networks. Novel tuning algorithms are given for the actor/critic networks. The convergence to the closed-loop Stackelberg equilibrium is proven and stability of the system is also guaranteed. A simulation example shows the effectiveness of the new online algorithm.
The fault detection and isolation problem is studied for a class of nonlinear systems. Under structural conditions, a bank of High-Order Sliding-Mode observers is proposed. The value of the equivalent output injection...
详细信息
The fault detection and isolation problem is studied for a class of nonlinear systems. Under structural conditions, a bank of High-Order Sliding-Mode observers is proposed. The value of the equivalent output injection is used for detecting and isolating particular faults in the system. The proposed method provides finite-time isolation of actuator and plant faults. Simulation results support the proposed approach.
We present the hardware design, software architecture, and core algorithms of Herb 2.0, a bimanual mobile manipulator developed at the Personal robotics Lab at Carnegie Mellon University, Pittsburgh, PA. We have devel...
详细信息
This paper presents tracking control of a compliant XY nano-positioner using a transfigured loop-shaping H ∞ (TLSH) control strategy, which is capable of achieving satisfied positioning performance. The employed com...
详细信息
This paper presents tracking control of a compliant XY nano-positioner using a transfigured loop-shaping H ∞ (TLSH) control strategy, which is capable of achieving satisfied positioning performance. The employed compliant nano-positioner is featured with a symmetric 4-PP (P represents prismatic joint) structure in which four-bar flexures are designed as the prismatic joints, meanwhile two embedded piezoelectric ceramic actuators (PZT) are adopted. Based on the identified plant transfer function of the nano-positioner, the presented control strategy and the traditional PID controller are implemented with different input scanning frequencies of 0.5 Hz and 2.5 Hz for comparisons. Both the simulation results and the practical experimental results demonstrate that the presented TLSH control method obviously performs better than the traditional PID method in the presence of plant model uncertainty, which will be applied to perform practical micromanipulation tasks.
Use of robotics and computerized tools in Nuclear Power Plants (NPPs) has been identified as a highly recommended practice by IAEA. The key rationale of robotics application has always been to avoid human exposure to ...
详细信息
Use of robotics and computerized tools in Nuclear Power Plants (NPPs) has been identified as a highly recommended practice by IAEA. The key rationale of robotics application has always been to avoid human exposure to hazardous environments and tasks ranging from scrutiny and general maintenance to decontamination and post accidental activities. To execute these activities, robots need to incorporate artificial intelligence, improved sensors capability, enhanced data fusion and compliant human like leg and hand structures for efficient motions. Next generation robotic systems in NPPs are expected to work in full autonomous mode in contrast to the current semi-autonomous scenarios. Far future systems could deploy humanoid robots as well. This paper presents state-of-the-art of robotics developed for NPPs, associated challenges and finally comments on future directions.
During research on SMA wires the prototype of linear position actuator was built. The shape memory alloy (SMA) wires used in construction of the actuator are nonlinear and time variant. Thus, it was decided to use a f...
详细信息
The rotational inverted pendulum is a structure that was primarily developed by Katsuhisa Furuta. It is widely used thorough the control laboratories to demonstrate the effectiveness of nonlinear control algorithms. T...
详细信息
This paper presents a nonlinear mathematical modeling of an Intelligent Pneumatic Actuator (IPA) systems and comparison of simulation results with existing experimental results of position and force control data. The ...
详细信息
ISBN:
(纸本)9781467325752
This paper presents a nonlinear mathematical modeling of an Intelligent Pneumatic Actuator (IPA) systems and comparison of simulation results with existing experimental results of position and force control data. The derivation method of mathematical equation is referred and reviewed from several literatures. From the mathematical modeling, a simulation analysis was done and compared with existing data from previous research. This paper proposed a reverse engineering method from existing real system on the intelligent actuator that focused more on development of hardware and experimental setup to simulation analysis for validation of the developed model. The simulation results show the affirmation of the developed model based on the mathematical derivation work. The simulation results demonstrate the open-loop and close-loop control systems of position and force tracking control. Finally, performance of this system are analyzed and compared. For future research, this simulation can be used for development of new controllers, validation process and can be applied to real system.
暂无评论