receding-horizon optimal control
Nonlinear optimal control: a receding horizon appoach
... standard receding horizon formulation with two CLF ...implemented control actions, which in the ideal case of the optimization being continuously resolved is only the initial control ...of ...
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Evolutionary computation with spatial receding horizon control to minimize network coding resources
... spatial horizon recedes step by ...the receding horizon, the subsolutions for decided spatial steps will be uniquely determined and have no chance to change in future runs, as illustrated in Figure ...
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An Efficient Finite-Input Receding Horizon Control Method and Its Application for the Pneumatic Hopping Robot
... robot control system into a generalized kind of dynamic system, namely, switching control ...Switching control system represents a type of dynamic systems in which control inputs are discrete ...
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Output Feedback Receding Horizon Control for Constrained Linear Systems
... the optimal solution at last time step is a feasible solution at current time ...feedback control, is used as a terminal constraint to ensure the states go into this region over finite ...finite ...
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Robot Motion Planning in Dynamic, Cluttered, and Uncertain Environments: the Partially Closed Loop Receding Horizon Control Approach
... an optimal feedback law: given any measurement and control combination, the optimal control law is ...the control law for the resulting multimodal distribution is chosen, then the ...
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5. Stabilizing output feedback receding horizon control of sampled-data nonlinear systems via discrete-time approximations
... The aim of the present paper is to establish a set of conditions which guarantee that the output feedback RHC practically stabilizes the exact discrete-time model of the plant. The basic idea of handling this problem is ...
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An Optimal Control Approach to Structured Treatment Interruptions for HIV Patients: A Personalized Medicine Perspective
... successive control computed on each new window is now implicitly a function of the prior window’s final state – now the current window’s initial ...and horizon length vary per simulation given different ...
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Stabilize Nonlinear Interactive Process by Predictive Method on Receding Horizon
... In industry, controllers are play vital role for maximum optimization, tuning, adjustment and necessary set points are influenced. The controller can be evolved from classic to advanced predictive level, looking into ...
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An Algorithm of Receding Horizon Control for Two-Person Linear Quadratic Differential Games Using LMI Method
... Receding horizon optimization control is not an off-line, but repeated on-line at every sampling time, optimizing performance inde xes covered only a finite horizon in the future, and to the ...
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Convex Model Predictive Control for Vehicular Systems
... Each receding horizon iteration took approximately ...the optimal value was ...the optimal value being significantly lower in this example than in ...
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Feedback control of HIV antiviral therapy with long measurement time
... a receding horizon observer to an HIV feedback control problem in order to derive optimal treatments of HIV progression and/or optimal structured treatment interruptions (STI)in ...
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Impulsively-controlled systems and reverse dwell time: A linear programming approach
... a receding horizon algorithm that converges to the exact solution in polynomial time for a class of optimal impulse control problems with uni- formly distributed impulse instants and governed ...
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Distributed receding horizon control of multiagent systems
... the control objectives for the problem to be practically ...generate optimal trajectories that account for projected area (imaging) constraints and minimize fuel consump- ...
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Receding horizon control of HIV
... of optimal control method- ology to HIV drug ...the control of HIV are based on open-loop ...a control over the entire treatment time interval for a given model and initial conditions, without ...
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Planning with a Receding Horizon for Manipulation in Clutter using a Learned Value Function
... The performance of action-value based RHP is bounded by the quality of its heuristic. So far, the knowledge encap- sulated in the action-value function has two shortcomings: first, the plans generated by the kino-dynamic ...
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Infinite horizon optimal impulsive control with applications to Internet congestion control
... Transmission Control Protocol (TCP) gives efficient solutions to end-to-end error control and congestion control, the problem of fairness among flows is far from being solved: see, for example, ...
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Linear and Nonlinear Model Predictive Control of Quadruple Tank Process
... In this paper, simulation results are compared with [1] and [2] on time based domain using tuning predictive control response, to a step response input. Here, response is plotted for the lower tanks for minimum ...
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Calculating retail prices from demand response target schedules to operate domestic electric water heaters
... In liberalized electricity markets, a supplier is an enterprise that purchases electricity at wholesale (or by operating power plants) and resells it to end customers, using net- works operated by other enterprises ...
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Learning horizon and optimal alliance formation
... cost of getting d wrong given T—is higher than in industries where technological progress is less important. Because of imperfect substitutability of R&D outcomes across different trajectories and due to strong path ...
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Using a finite horizon numerical optimisation method for a periodic optimal control problem
... A very fine simulation step is necessary to yield smooth time paths from this problem’s control rule - here 75000 steps were used. Examination of Gaitsgory and Rossamakhine’s optimal time paths (see Figure ...
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